CN117391717A - Ticket anti-counterfeiting method and system - Google Patents
Ticket anti-counterfeiting method and system Download PDFInfo
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Abstract
The invention relates to the technical field of information security, in particular to a ticket anti-counterfeiting method and a ticket anti-counterfeiting system, comprising the following steps: the block chain technology is used for recording transaction information and verification data of the ticket, and the ticket information is stored in an encrypted mode through an encryption algorithm. According to the invention, the authenticity of the ticket is ensured in a multi-layer and all-dimensional manner by combining a blockchain technology, image identification, radio frequency spectrum fingerprint, an Internet of things technology and a physical random number technology, and the anti-counterfeiting capability of the ticket is improved. The position and state information of the ticket are tracked and recorded in real time through the internet of things technology, so that the anti-counterfeiting efficiency is improved. And ticket transaction information and verification data of each time are stored through a block chain technology, so that the integrity and traceability of the data are ensured. Through cloud computing and big data analysis, real-time assessment is carried out on risks in the ticket using process, and a visualized risk assessment result is formed, so that the real-time performance and accuracy of risk prevention are improved.
Description
Technical Field
The invention relates to the technical field of information security, in particular to a ticket anti-counterfeiting method and a ticket anti-counterfeiting system.
Background
Information security technology is a field in which various technical means are studied and applied to protect the security, integrity and usability of information systems and data. It covers many sub-fields such as encryption algorithms, access control, identity authentication, anti-counterfeiting techniques etc. and aims to protect information from threats such as unauthorized access, tampering and counterfeiting. The ticket anti-fake method is one technological means applied in ticket field and aims at protecting ticket and ensuring its authenticity and legitimacy. Such tickets may include tickets, certificates, vouchers, etc., the authenticity and legitimacy of which are important to ensure fair transactions, information security and fraud prevention.
The ticket anti-fake method aims at ensuring the authenticity and legitimacy of the ticket by adopting different technical means and anti-fake measures, providing a certain anti-fake capability, marking or authenticating the ticket, and preventing fraudulent actions such as counterfeiting, copying or falsification. The method aims to provide reliable ticket verification means for users and related institutions and enhance the anti-counterfeiting effect and security of tickets. To achieve this goal, ticket security methods typically employ a variety of means and techniques. Including the use of special security materials or labels such as watermarks, magnetic materials, textures, etc., to increase the authenticity of the ticket. In addition, the unique identification and traceability of the ticket can be realized by adopting means of image recognition, optical color change, copy prevention technology and the like and combining with information technologies such as digital signature, two-dimensional code, RFID and the like. By the means, the ticket can be subjected to the operations of authenticity verification, copy prevention, tamper prevention, anti-counterfeiting tracing and the like, so that the security and the reliability of the ticket are ensured.
In the existing ticket anti-counterfeiting method, the existing ticket anti-counterfeiting method generally only adopts a single anti-counterfeiting technology, such as physical anti-counterfeiting or digital anti-counterfeiting, but lacks the comprehensive application of a plurality of anti-counterfeiting technologies, so that the anti-counterfeiting capability is limited. The prior method often cannot track the use condition and position change of the ticket in real time, which increases the anti-counterfeiting difficulty and may cause that the behavior of the forged ticket cannot be found and checked in time. The current ticket verification is mostly dependent on a single mode, such as bar code or two-dimensional code scanning, the uniqueness of the ticket verification cannot be guaranteed, the ticket verification is easy to copy or forge, and the information verification is not accurate and timely enough. The existing ticket anti-counterfeiting method is generally not designed and implemented in a risk assessment system, and risks and problems possibly existing in the ticket anti-counterfeiting method are difficult to timely and effectively discover and early warn.
Disclosure of Invention
The invention aims to solve the defects in the prior art and provides a ticket anti-counterfeiting method and a ticket anti-counterfeiting system.
In order to achieve the above purpose, the present invention adopts the following technical scheme: a ticket anti-counterfeiting method comprising the steps of:
s1: recording transaction information and verification data of the ticket by using a blockchain technology, encrypting and storing the ticket information by an encryption algorithm, verifying and controlling ticket transaction by using an intelligent contract, and generating a ticket recording and authentication system based on the blockchain;
S2: the ticket recording and authenticating system based on the blockchain adopts a deep learning algorithm to identify and analyze the ticket image data, ensures the uniqueness of the ticket, and forms a ticket image identification model;
s3: based on the ticket image recognition model, adopting a radio spectrum fingerprint technology to authenticate the ticket, ensuring the uniqueness of the ticket, and forming a ticket authentication system of radio spectrum fingerprints;
s4: the ticket authentication system based on the radio spectrum fingerprint is used for tracking and recording the position and state information of the ticket in real time by utilizing the internet of things technology to form an internet of things ticket tracking system;
s5: based on the ticket tracking system of the Internet of things, a physical random number generator is adopted to add a unique identifier to the ticket, and a ticket with a random number identifier is generated;
s6: based on the ticket with the random number mark, embedding an optical signal on the ticket by using a visible light communication technology, and performing reading verification to form a ticket verification system based on the optical communication technology;
s7: the ticket verification system based on the optical communication technology utilizes cloud computing and big data analysis to evaluate risks in the using process of the ticket in real time, and forms a ticket risk evaluation system.
As a further scheme of the present invention, the transaction information and verification data of the ticket are recorded by using a blockchain technology, the ticket information is stored in an encrypted manner by an encryption algorithm, and the ticket transaction is verified and controlled by using an intelligent contract, and the steps of generating the blockchain-based ticket recording and authentication system are specifically as follows:
s101: the merck tree structure is adopted to sort the transaction data of the ticket, and a ticket transaction data structure is generated;
s102: based on the ticket transaction data structure, carrying out data hash processing by using a secure hash algorithm to generate a ticket transaction hash value;
s103: encrypting the ticket transaction hash value by adopting a public key encryption technology to generate encrypted ticket transaction information;
s104: based on the encrypted ticket transaction information, verifying and controlling the transaction by utilizing an intelligent contract, and generating a ticket record and authentication system based on a blockchain.
As a further scheme of the invention, the ticket recording and authentication system based on the blockchain adopts a deep learning algorithm to identify and analyze the ticket image data, ensures the uniqueness of the ticket, and specifically comprises the following steps of:
S201: extracting features of the ticket image by adopting a convolutional neural network to obtain a ticket image feature set;
s202: based on the ticket image feature set, carrying out classification training by using a support vector machine to generate a ticket image classification model;
s203: based on the ticket image classification model, identifying a new ticket image by using the ticket image classification model to generate a ticket image classification result;
s204: and carrying out deep learning analysis on the ticket image classification result to determine the uniqueness of the ticket and form a ticket image recognition model.
As a further scheme of the present invention, based on the ticket image recognition model, the ticket is authenticated by adopting a radio spectrum fingerprint technology, so as to ensure the uniqueness of the ticket, and the steps of the ticket authentication system for forming the radio spectrum fingerprint are specifically as follows:
s301: acquiring amplitude, phase and frequency information of a radio signal to obtain ticket original spectrum data;
s302: performing spectrum analysis by using fast Fourier transform based on the ticket original spectrum data to generate ticket spectrum fingerprints;
s303: performing pattern matching and verification on the ticket spectrum fingerprint to generate a ticket spectrum verification result;
S304: and based on the ticket spectrum verification result, ensuring the uniqueness of the ticket and forming a ticket authentication system of the radio spectrum fingerprint.
As a further scheme of the invention, based on the ticket authentication system of radio spectrum fingerprint, the position and state information of the ticket are tracked and recorded in real time by utilizing the internet of things technology, and the steps for forming the internet of things ticket tracking system are as follows:
s401: installing a GPS module and a sensor on the ticket to collect real-time position and state information of the ticket and generate real-time position and state information data;
s402: based on the real-time position and state information data, transmitting the data to a central server by using an ad hoc network wireless communication technology to form real-time data received by the central server;
s403: the central server processes and analyzes the real-time data, optimizes the accuracy of the data by using an optimal filtering method based on state estimation, and generates optimized real-time position and state information;
s404: and updating the optimized real-time position and state information to a ticket tracking system in real time through the Internet to form the ticket tracking system of the Internet of things.
As a further scheme of the invention, based on the ticket tracking system of the Internet of things, a physical random number generator is adopted to add a unique identifier to the ticket, and the step of generating the ticket with the random number identifier comprises the following specific steps:
S501: generating a random number using a physical random number generator;
s502: based on the random number, generating a unique identifier by adopting a hash function;
s503: binding the unique identifier with real-time position and state information of the ticket tracking system of the Internet of things to generate ticket information after binding;
s504: and storing the bound ticket information into a blockchain to ensure the non-tamper property of data and generate a ticket with a random number mark.
As a further scheme of the present invention, based on the ticket with the random number identifier, the visible light communication technology is used to embed the optical signal on the ticket, and the reading verification is performed, so as to form the ticket verification system based on the optical communication technology, which specifically comprises the following steps:
s601: converting the ticket information with the random number mark into an optical signal to generate optical signal information;
s602: embedding an optical signal on the ticket based on the optical signal information by using a visible light communication technology to generate the ticket embedded with the optical signal;
s603: reading and verifying the ticket embedded with the optical signal by using an optical signal reader to obtain a verification result of the ticket;
s604: and determining the validity of the ticket according to the verification result of the ticket, and forming a ticket verification system based on the optical communication technology.
As a further scheme of the present invention, the ticket verification system based on the optical communication technology utilizes cloud computing and big data analysis to evaluate risks in the using process of the ticket in real time, and the steps of forming the ticket risk evaluation system specifically include:
s701: the ticket verification system based on the optical communication technology collects data in the ticket use process and generates a ticket use data set;
s702: based on the ticket use data set, processing and analyzing the data by adopting a big data analysis technology to obtain a ticket use risk analysis result;
s703: uploading the ticket use risk analysis result to a cloud server to generate a cloud risk analysis result;
s704: and updating the ticket risk assessment system in real time based on the cloud risk analysis result to form the ticket risk assessment system.
The ticket anti-counterfeiting system is used for executing the ticket anti-counterfeiting method and consists of a blockchain recording module, an image recognition module, a frequency spectrum fingerprint authentication module, an Internet of things tracking module, a random number identification module and an optical communication verification module;
the block chain recording module adopts a merck tree structure to sort transaction data of the ticket, uses a secure hash algorithm to carry out hash processing, carries out public key encryption after obtaining a hash value, uses an intelligent contract to carry out verification and control, and generates a ticket recording and authentication system based on the block chain;
The image recognition module is based on a ticket recording and authenticating system of a blockchain, adopts a convolutional neural network to extract characteristics of ticket images, adopts a support vector machine to carry out classification training based on the obtained characteristic set, recognizes new ticket images and generates a ticket image recognition model;
the spectrum fingerprint authentication module is based on a ticket image recognition model, collects amplitude, phase and frequency information of a radio signal, performs spectrum analysis by using fast Fourier transform, performs pattern matching and verification on the obtained ticket spectrum fingerprint, and generates a ticket authentication system of the radio spectrum fingerprint;
the internet of things tracking module is based on a frequency spectrum fingerprint authentication system, a GPS module and a sensor are installed on a ticket, real-time position and state information which is collected and transmitted to a central server through an ad hoc network wireless communication technology are updated to the ticket tracking system in real time after optimization, and the internet of things ticket tracking system is generated;
the random number identification module is based on the ticket tracking system of the Internet of things, generates a random number by using a physical random number generator, generates a unique identification by adopting a hash function, binds the unique identification with the real-time position and state information of the ticket tracking system of the Internet of things, and stores the unique identification into a blockchain to generate a ticket with the random number identification;
The optical communication verification module converts ticket information into optical signals based on the ticket with the random number identification and embeds the optical signals into the ticket, an optical signal reader is used for reading and verifying, the validity of the ticket is determined according to the verification result, and a ticket verification system based on the optical communication technology is generated.
As a further scheme of the invention, the blockchain recording module comprises a transaction data arrangement sub-module, a hash processing sub-module and a public key encryption sub-module;
the image recognition module comprises a feature extraction sub-module, a classification training sub-module and an image recognition sub-module;
the spectrum fingerprint authentication module comprises a signal acquisition sub-module, a spectrum analysis sub-module and a pattern matching sub-module;
the Internet of things tracking module comprises a GPS positioning sub-module, a wireless transmission sub-module and a state optimization sub-module;
the random number identification module comprises a random number generation sub-module, an identification generation sub-module and a state binding sub-module;
the optical communication verification module comprises an optical signal conversion sub-module, an optical signal embedding sub-module and an optical signal reading sub-module.
Compared with the prior art, the invention has the advantages and positive effects that:
according to the invention, the authenticity of the ticket is ensured in a multi-layer and all-dimensional manner by combining a blockchain technology, image identification, radio frequency spectrum fingerprint, an Internet of things technology and a physical random number technology, and the anti-counterfeiting capability of the ticket is improved. Through the internet of things technology, the position and state information of the ticket can be tracked and recorded in real time, the ticket is managed and controlled in real time, and the anti-counterfeiting efficiency is improved. Through the block chain technology, ticket transaction information and verification data of each time can be stored, the integrity and traceability of the data are guaranteed, and the security of the ticket is improved. Through cloud computing and big data analysis, the risk in the ticket use process can be evaluated in real time, and a visual risk evaluation result is formed, so that a supervisor can acquire the ticket use condition more quickly and accurately, and the real-time performance and accuracy of risk prevention are improved.
Drawings
FIG. 1 is a schematic workflow diagram of the present invention;
FIG. 2 is a S1 refinement flowchart of the present invention;
FIG. 3 is a S2 refinement flowchart of the present invention;
FIG. 4 is a S3 refinement flowchart of the present invention;
FIG. 5 is a S4 refinement flowchart of the present invention;
FIG. 6 is a S5 refinement flowchart of the present invention;
FIG. 7 is a S6 refinement flowchart of the present invention;
FIG. 8 is a S7 refinement flowchart of the present invention;
FIG. 9 is a system flow diagram of the present invention;
fig. 10 is a system block diagram of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
In the description of the present invention, it should be understood that the terms "length," "width," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," and the like indicate orientations or positional relationships based on the orientation or positional relationships shown in the drawings, merely to facilitate describing the present invention and simplify the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and therefore should not be construed as limiting the present invention. Furthermore, in the description of the present invention, the meaning of "a plurality" is two or more, unless explicitly defined otherwise.
Example 1
Referring to fig. 1, the present invention provides a technical solution: a ticket anti-counterfeiting method comprising the steps of:
s1: recording transaction information and verification data of the ticket by using a blockchain technology, encrypting and storing the ticket information by an encryption algorithm, verifying and controlling ticket transaction by using an intelligent contract, and generating a ticket recording and authentication system based on the blockchain;
s2: the ticket recording and authenticating system based on the block chain adopts a deep learning algorithm to identify and analyze the ticket image data, ensures the uniqueness of the ticket, and forms a ticket image identification model;
s3: based on the ticket image recognition model, adopting a radio spectrum fingerprint technology to authenticate the ticket, ensuring the uniqueness of the ticket, and forming a ticket authentication system of the radio spectrum fingerprint;
s4: the ticket authentication system based on radio spectrum fingerprint utilizes the internet of things technology to track and record the position and state information of the ticket in real time to form the internet of things ticket tracking system;
s5: based on the ticket tracking system of the Internet of things, a physical random number generator is adopted to add a unique identifier to the ticket, and a ticket with a random number identifier is generated;
s6: based on the ticket with the random number mark, embedding an optical signal on the ticket by using a visible light communication technology, and performing reading verification to form a ticket verification system based on the optical communication technology;
S7: and the ticket verification system based on the optical communication technology utilizes cloud computing and big data analysis to evaluate the risk in the using process of the ticket in real time, so as to form the ticket risk evaluation system.
Firstly, ticket transaction information and verification data are recorded in a blockchain, stored in an encrypted mode, and verified and controlled by utilizing an intelligent contract, so that the security and the non-tamper property of the ticket transaction information are ensured. Secondly, a deep learning algorithm is applied to identify and analyze the ticket images so as to ensure the uniqueness of each ticket and effectively prevent counterfeiting and copying. In addition, the ticket is authenticated by using a radio spectrum fingerprint technology, the authenticity and the uniqueness of the ticket are verified by collecting the radio spectrum fingerprint of the ticket, and the security of the ticket is improved. Meanwhile, the position and state information of the ticket are tracked and recorded in real time by utilizing the internet of things technology, so that the security and traceability of the ticket are ensured. The physical random number generator is used for adding unique identification to the ticket, so that the uniqueness and anti-counterfeiting performance of the ticket are further improved. The visible light communication technology is adopted to embed the optical signal into the ticket and read and verify the ticket, so that the security and the anti-counterfeiting performance of the ticket are improved. Finally, the risk in the ticket using process is evaluated in real time by combining cloud computing and big data analysis, the potential risk can be found and dealt with in time, and the security of the ticket is ensured. In summary, the comprehensive ticket anti-counterfeiting method can effectively improve the security, reliability and traceability of the ticket, prevent counterfeiting, and evaluate risks in real time to ensure the security and reliability of the ticket in the use process.
Referring to fig. 2, using a blockchain technique to record transaction information and verification data of a ticket, encrypting and storing the ticket information by an encryption algorithm, and verifying and controlling the ticket transaction by using an intelligent contract, the steps of generating a blockchain-based ticket recording and authentication system are specifically as follows:
s101: the merck tree structure is adopted to sort the transaction data of the ticket, and a ticket transaction data structure is generated;
s102: based on the ticket transaction data structure, carrying out data hash processing by using a secure hash algorithm to generate a ticket transaction hash value;
s103: encrypting the ticket transaction hash value by adopting a public key encryption technology to generate encrypted ticket transaction information;
s104: based on the encrypted ticket transaction information, the intelligent contract is utilized to verify and control the transaction, and a ticket record and authentication system based on the blockchain is generated.
Firstly, the merck tree structure is adopted to sort the transaction data of the ticket, so that the ticket transaction information can be effectively organized and managed, and the readability and verifiability of the data are improved. Secondly, the ticket transaction data is hashed through a secure hash algorithm to generate a unique ticket transaction hash value, so that the integrity and tamper resistance of ticket transaction are ensured. Meanwhile, the public key encryption technology is adopted to encrypt the ticket transaction hash value, so that the privacy and the safety of ticket transaction information are protected.
And verifying and controlling ticket transaction by using the intelligent contract to construct a ticket recording and authenticating system based on the blockchain. The system can provide transparent and non-tamperable ticket recording and authentication modes, and ensure the credibility and authenticity of ticket transaction. Meanwhile, the automatic execution characteristic of the intelligent contract can reduce trust problems and human errors in intermediate links, and improve ticket transaction efficiency and accuracy.
Referring to fig. 3, the ticket recording and authentication system based on the blockchain adopts a deep learning algorithm to identify and analyze the ticket image data, so as to ensure the uniqueness of the ticket, and the steps of forming the ticket image identification model are as follows:
s201: extracting features of the ticket image by adopting a convolutional neural network to obtain a ticket image feature set;
s202: based on the feature set of the ticket image, carrying out classification training by using a support vector machine to generate a ticket image classification model;
s203: based on the ticket image classification model, identifying a new ticket image by using the ticket image classification model to generate a ticket image classification result;
s204: and carrying out deep learning analysis on the ticket image classification result to determine the uniqueness of the ticket and form a ticket image recognition model.
Firstly, a convolutional neural network is adopted to extract features of the ticket image, visual information in the ticket image can be effectively captured, and a feature set with differentiation is extracted. Thus, the uniqueness of each ticket can be ensured, thereby preventing counterfeiting and copying and increasing the anti-counterfeiting performance of the ticket.
Secondly, by using a support vector machine for classification training, a classification model can be constructed according to the feature set of the ticket image. The model can learn the association between the characteristics and the categories of the ticket images, so that the new ticket images can be classified quickly and accurately. Therefore, accurate identification of the ticket image can be ensured, and the credibility and efficiency of ticket authentication are improved.
And carrying out deep learning analysis on the basis of the ticket image classification result to further determine the uniqueness of the ticket. By deeply analyzing the ticket image classification result, potential modes and correlations can be found, and the precision and accuracy of ticket image recognition are further improved. Thus, the identity verification and anti-counterfeiting function of the ticket can be better ensured.
Referring to fig. 4, based on the ticket image recognition model, the ticket is authenticated by adopting the radio spectrum fingerprint technology, so as to ensure the uniqueness of the ticket, and the steps of the ticket authentication system for forming the radio spectrum fingerprint are specifically as follows:
S301: acquiring amplitude, phase and frequency information of a radio signal to obtain ticket original spectrum data;
s302: performing spectrum analysis by using fast Fourier transform based on the original spectrum data of the ticket to generate a ticket spectrum fingerprint;
s303: performing pattern matching and verification on the ticket spectrum fingerprint to generate a ticket spectrum verification result;
s304: based on the ticket spectrum verification result, the uniqueness of the ticket is ensured, and a ticket authentication system of the radio spectrum fingerprint is formed.
First, by acquiring amplitude, phase and frequency information of a radio signal, ticket raw spectrum data can be acquired. These data can reflect the radio signal characteristics of the ticket, providing a basis for subsequent analysis and authentication.
And secondly, based on the original spectrum data of the ticket, performing spectrum analysis by using fast Fourier transform to generate a spectrum fingerprint of the ticket. The spectrum fingerprint is a unique identifier generated according to the characteristics of the ticket on the radio spectrum, and can effectively distinguish different tickets. This ensures uniqueness of the ticket and prevents forgery and copying.
Then, pattern matching and verification are carried out on the frequency spectrum fingerprint of the ticket so as to realize the authentication of the ticket. The authenticity and legitimacy of the ticket can be determined by comparing and verifying the ticket spectrum fingerprint with the existing authentication model. Thus, the accuracy and the reliability of the ticket authentication process can be ensured.
On the basis of the ticket spectrum verification result, the uniqueness of the ticket is ensured, and the ticket authentication system of the radio spectrum fingerprint is formed. The system can effectively identify and verify the spectral fingerprint of the ticket, thereby ensuring the uniqueness of each ticket and further enhancing the anti-counterfeiting performance and security of the ticket.
Referring to fig. 5, a ticket authentication system based on radio spectrum fingerprint, which uses the internet of things technology to track and record the position and state information of the ticket in real time, the steps of forming the internet of things ticket tracking system are specifically as follows:
s401: installing a GPS module and a sensor on the ticket to collect real-time position and state information of the ticket and generate real-time position and state information data;
s402: based on the real-time position and state information data, transmitting the data to a central server by using an ad hoc network wireless communication technology to form real-time data received by the central server;
s403: the central server processes and analyzes the real-time data, optimizes the accuracy of the data by using an optimal filtering method based on state estimation, and generates optimized real-time position and state information;
s404: and updating the optimized real-time position and state information to the ticket tracking system in real time through the Internet to form the ticket tracking system of the Internet of things.
First, by acquiring amplitude, phase and frequency information of a radio signal, ticket raw spectrum data can be acquired. These data can reflect the radio signal characteristics of the ticket, providing a basis for subsequent analysis and authentication.
And secondly, based on the original spectrum data of the ticket, performing spectrum analysis by using fast Fourier transform to generate a spectrum fingerprint of the ticket. The spectrum fingerprint is a unique identifier generated according to the characteristics of the ticket on the radio spectrum, and can effectively distinguish different tickets. This ensures uniqueness of the ticket and prevents forgery and copying.
Then, pattern matching and verification are carried out on the frequency spectrum fingerprint of the ticket so as to realize the authentication of the ticket. The authenticity and legitimacy of the ticket can be determined by comparing and verifying the ticket spectrum fingerprint with the existing authentication model. Thus, the accuracy and the reliability of the ticket authentication process can be ensured.
On the basis of the ticket spectrum verification result, the uniqueness of the ticket is ensured, and the ticket authentication system of the radio spectrum fingerprint is formed. The system can effectively identify and verify the spectral fingerprint of the ticket, thereby ensuring the uniqueness of each ticket and further enhancing the anti-counterfeiting performance and security of the ticket.
Referring to fig. 6, based on the internet of things ticket tracking system, a physical random number generator is adopted to add a unique identifier to a ticket, and the steps of generating the ticket with the random number identifier are specifically as follows:
s501: generating a random number using a physical random number generator;
s502: based on the random number, generating a unique identifier by adopting a hash function;
s503: binding the unique identifier with real-time position and state information of the ticket tracking system of the Internet of things to generate ticket information after binding;
s504: and storing the bound ticket information into a blockchain to ensure the non-tamper property of the data and generate the ticket with the random number identification.
First, a random number is generated by a physical random number generator, ensuring uniqueness and randomness. This ensures that each ticket has a unique identification, preventing collisions and repetitions.
And secondly, based on the generated random number, generating a unique identification of the ticket by adopting a hash function. The hash function processes a random number as an input, generating a hash value of a fixed length as a unique identifier. This ensures stability and consistency of the identification. The ticket information and the actual situation can be associated by binding with the real-time position and state information of the ticket tracking system of the Internet of things.
And storing the bound ticket information into a blockchain to ensure the non-tamper property of the data. Blockchain technology provides a distributed, decentralized storage manner such that ticket information is shared and verified by multiple nodes and data is protected from tampering. This ensures the integrity and authenticity of the ticket information.
Referring to fig. 7, based on a ticket with a random number identifier, an optical signal is embedded on the ticket by using a visible light communication technology, and reading and verifying are performed, so that the steps of forming the ticket verification system based on the optical communication technology are specifically as follows:
s601: converting the ticket information with the random number mark into an optical signal to generate optical signal information;
s602: embedding an optical signal on the ticket based on the optical signal information by using a visible light communication technology to generate the ticket embedded with the optical signal;
s603: reading and verifying the ticket embedded with the optical signal by using the optical signal reader to obtain a verification result of the ticket;
s604: and determining the validity of the ticket according to the verification result of the ticket, and forming a ticket verification system based on the optical communication technology.
First, ticket information having a random number identification is converted into an optical signal, and the optical signal information is generated. The process can convert ticket information into visible light signals through coding and modulation technology, and the accuracy and transmissibility of the information are ensured.
Next, based on the optical signal information, an optical signal is embedded in the ticket using a visible light communication technique, and the ticket in which the optical signal is embedded is generated. This way, the visible light transmissibility of the ticket surface is utilized to embed the optical signal information directly into the ticket. Thus, the ticket itself serves as a carrier of information, preventing the information from being tampered or counterfeited.
The ticket embedded with the optical signal is then read-verified using the optical signal reader. The reader can analyze the optical signal on the ticket and restore the optical signal to original data, and verify and read the information of the ticket. The verification result of the ticket can be obtained through the identification and decoding of the reader, and the validity and the authenticity of the ticket can be judged.
On the basis of the ticket-based verification result, the validity of the ticket is determined, and the ticket verification system based on the optical communication technology is formed. The system utilizes the visible light communication technology to construct a fast, reliable and anti-counterfeiting ticket verification mode. The ticket information can be read and verified in real time, and the verification accuracy and efficiency are improved.
Referring to fig. 8, the ticket verifying system based on the optical communication technology uses cloud computing and big data analysis to evaluate risks in the using process of the ticket in real time, and the steps for forming the ticket risk evaluating system specifically include:
S701: the ticket verification system based on the optical communication technology collects data in the ticket use process and generates a ticket use data set;
s702: based on the ticket use data set, processing and analyzing the data by adopting a big data analysis technology to obtain a ticket use risk analysis result;
s703: uploading the ticket use risk analysis result to a cloud server to generate a cloud risk analysis result;
s704: and updating the ticket risk assessment system in real time based on the cloud risk analysis result to form the ticket risk assessment system.
First, data in the ticket use process is collected through a ticket verification system based on an optical communication technology, so as to form a ticket use data set. Such data includes ticket validation records, time of use, location, etc., which provide a basis for subsequent risk assessment.
Secondly, based on the ticket usage data set, the big data analysis technology is adopted to process and analyze the data. Valuable information and patterns can be extracted from massive ticket usage data by applying big data analysis algorithms and techniques, and potential risk factors and patterns can be identified. This allows analysis and assessment of the risk of use of the ticket.
And uploading the ticket use risk analysis result to a cloud server to form a cloud risk analysis result. Cloud computing technology provides powerful computing and storage capabilities that enable processing and analysis of large-scale data and generation of risk analysis results. And uploading the result to a cloud server, so that real-time updating and sharing are realized, and a plurality of users can access and refer to the result conveniently.
And updating the ticket risk assessment system in real time based on the cloud risk analysis result. The cloud risk analysis result is combined with the ticket risk assessment system, so that real-time assessment and monitoring of ticket use risks can be realized. The system can perform risk assessment according to the updated data, generate corresponding risk reports and warnings, and help users to timely identify and cope with potential risk problems.
Referring to fig. 9, a ticket anti-counterfeiting system is used for executing the ticket anti-counterfeiting method, and the ticket anti-counterfeiting system is composed of a blockchain recording module, an image recognition module, a frequency spectrum fingerprint authentication module, an internet of things tracking module, a random number identification module and an optical communication verification module;
the block chain recording module adopts a Merker tree structure to sort transaction data of the ticket, uses a secure hash algorithm to carry out hash processing, carries out public key encryption after obtaining a hash value, uses an intelligent contract to carry out verification and control, and generates a ticket recording and authentication system based on the block chain;
The image recognition module is based on a ticket recording and authenticating system of a blockchain, adopts a convolutional neural network to extract characteristics of ticket images, adopts a support vector machine to carry out classification training based on the obtained characteristic set, recognizes new ticket images, and generates a ticket image recognition model;
the frequency spectrum fingerprint authentication module is based on a ticket image recognition model, collects amplitude, phase and frequency information of a radio signal, performs frequency spectrum analysis by using fast Fourier transform, performs pattern matching and verification on the obtained ticket frequency spectrum fingerprint, and generates a ticket authentication system of the radio spectrum fingerprint;
the internet of things tracking module is based on a frequency spectrum fingerprint authentication system, a GPS module and a sensor are installed on a ticket, real-time position and state information which is collected and transmitted to a central server through an ad hoc network wireless communication technology are updated to the ticket tracking system in real time after optimization, and the internet of things ticket tracking system is generated;
the random number identification module is based on the ticket tracking system of the Internet of things, generates a random number by using a physical random number generator, generates a unique identification by adopting a hash function, binds the unique identification with the real-time position and state information of the ticket tracking system of the Internet of things, and stores the unique identification into a block chain to generate a ticket with the random number identification;
The optical communication verification module converts ticket information into optical signals based on the ticket with the random number identification and embeds the optical signals into the ticket, an optical signal reader is used for reading and verifying, the validity of the ticket is determined according to the verification result, and the ticket verification system based on the optical communication technology is generated.
Firstly, the block chain recording module utilizes the merck tree structure to sort the transaction data of the ticket, and uses a secure hash algorithm to carry out hash processing. This ensures the integrity and non-tamper ability of the ticket records and verifies and controls through intelligent contracts, creating a blockchain-based ticket record and authentication system.
Secondly, the image recognition module performs feature extraction on the ticket image by using a convolutional neural network based on the ticket recording and authentication system of the blockchain, and performs classification training by using a support vector machine. Therefore, the new ticket image can be identified, an automatic ticket image identification model is realized, and the accuracy and the efficiency of identification are improved.
Then, the spectrum fingerprint authentication module collects amplitude, phase and frequency information of the radio signal based on the ticket image recognition model, and performs spectrum analysis using fast fourier transform. A ticket authentication system for radio spectrum fingerprints is formed by pattern matching and verifying the ticket spectrum fingerprints. The authentication mode can increase the uniqueness and anti-counterfeiting property of the ticket and improve the reliability of authentication.
The Internet of things tracking module is based on a frequency spectrum fingerprint authentication system, a GPS module and a sensor are installed on a ticket, and real-time position and state information is collected through an ad hoc network wireless communication technology and transmitted to a central server. Therefore, the ticket can be tracked and monitored in real time, and updated to the ticket tracking system in real time after optimization. The tracking system can provide accurate monitoring of ticket position and state, and can raise ticket management and antifake effect.
The random number identification module is based on the ticket tracking system of the Internet of things, generates random numbers by using a physical random number generator, and generates unique identifications by adopting a hash function. Binding the unique identifier with real-time position and state information of the ticket tracking system of the Internet of things, and storing the unique identifier into a blockchain to generate a ticket with a random number identifier. Therefore, the uniqueness and anti-counterfeiting performance of each ticket can be ensured, and the identity authentication and traceability of the ticket are enhanced.
Finally, the optical communication verification module converts ticket information into an optical signal based on the ticket with the random number identification and embeds the optical signal into the ticket. And using the optical signal reader to read and verify the ticket embedded with the optical signal, and determining the validity of the ticket according to the verification result. The verification mode can improve the accuracy and the credibility of ticket verification and increase the anti-counterfeiting performance of the ticket.
Referring to fig. 10, the blockchain recording module includes a transaction data sorting sub-module, a hash processing sub-module, and a public key encryption sub-module;
the image recognition module comprises a feature extraction sub-module, a classification training sub-module and an image recognition sub-module;
the frequency spectrum fingerprint authentication module comprises a signal acquisition sub-module, a frequency spectrum analysis sub-module and a mode matching sub-module;
the Internet of things tracking module comprises a GPS positioning sub-module, a wireless transmission sub-module and a state optimization sub-module;
the random number identification module comprises a random number generation sub-module, an identification generation sub-module and a state binding sub-module;
the optical communication verification module comprises an optical signal conversion sub-module, an optical signal embedding sub-module and an optical signal reading sub-module.
Firstly, the transaction data arrangement sub-module of the blockchain recording module can carry out structural arrangement on the transaction data of the ticket, and the data organization and management efficiency is improved. The hash processing sub-module processes the ticket data through a secure hash algorithm to ensure the integrity and the non-tamper resistance of the data. The public key encryption sub-module increases the security of the data, and only authorized users can access and verify the data. The blockchain recording module formed by integrating the sub-modules can provide a trusted ticket recording and authentication system.
Second, the feature extraction sub-module of the image recognition module is capable of extracting useful feature information from the ticket image. The classifying training sub-module classifies the characteristics through a training algorithm and establishes an accurate model. The image recognition submodule uses the model to recognize and verify the new ticket image, and improves the accuracy and efficiency of ticket recognition. The modularized design can realize automatic ticket image recognition and improve the accuracy and efficiency of ticket verification.
Then, the signal acquisition sub-module of the spectrum fingerprint authentication module can acquire radio signal information of the ticket. The spectrum analysis submodule performs spectrum analysis on the signal by utilizing fast Fourier transform and extracts spectrum fingerprint information. The mode matching sub-module matches and verifies the acquired ticket spectrum fingerprints to realize ticket authentication of the radio spectrum fingerprints. The design can increase the uniqueness and anti-counterfeiting property of the ticket and improve the authentication reliability of the ticket.
The GPS positioning sub-module of the Internet of things tracking module can track and record real-time position information of the ticket. The wireless transmission sub-module transmits the position and state information to the central server through an ad hoc network wireless communication technology, so that real-time tracking and monitoring are realized. The state optimization submodule optimizes and analyzes the collected information to update and optimize the ticket state in real time. The modular design can improve the accuracy and efficiency of ticket tracking and management.
The random number generation sub-module of the random number identification module can generate random numbers and add unique identifications for tickets. The identification generation sub-module generates a unique identification through a hash function and binds with real-time position and state information of the tracking system of the Internet of things. The state binding sub-module stores the ticket information after binding into the blockchain, so that the non-tamper property and the security of the data are ensured. The design can ensure the uniqueness and the anti-counterfeiting performance of each ticket.
Finally, the optical signal conversion sub-module of the optical communication verification module can convert ticket information into optical signals and is embedded into the ticket. The optical signal embedding sub-module embeds the optical signal into the ticket to realize the function of optical communication verification. The optical signal reading sub-module performs reading verification on the optical signal through the reader, and the validity of the ticket is determined according to the verification result. The design can improve the accuracy and the credibility of ticket verification and increase the anti-counterfeiting performance of the ticket.
The present invention is not limited to the above embodiments, and any equivalent embodiments which can be changed or modified by the technical disclosure described above can be applied to other fields, but any simple modification, equivalent changes and modification made to the above embodiments according to the technical matter of the present invention will still fall within the scope of the technical disclosure.
Claims (10)
1. A ticket anti-counterfeiting method, comprising the steps of:
recording transaction information and verification data of the ticket by using a blockchain technology, encrypting and storing the ticket information by an encryption algorithm, verifying and controlling ticket transaction by using an intelligent contract, and generating a ticket recording and authentication system based on the blockchain;
the ticket recording and authenticating system based on the blockchain adopts a deep learning algorithm to identify and analyze the ticket image data, ensures the uniqueness of the ticket, and forms a ticket image identification model;
based on the ticket image recognition model, adopting a radio spectrum fingerprint technology to authenticate the ticket, ensuring the uniqueness of the ticket, and forming a ticket authentication system of radio spectrum fingerprints;
the ticket authentication system based on the radio spectrum fingerprint is used for tracking and recording the position and state information of the ticket in real time by utilizing the internet of things technology to form an internet of things ticket tracking system;
based on the ticket tracking system of the Internet of things, a physical random number generator is adopted to add a unique identifier to the ticket, and a ticket with a random number identifier is generated;
based on the ticket with the random number mark, embedding an optical signal on the ticket by using a visible light communication technology, and performing reading verification to form a ticket verification system based on the optical communication technology;
The ticket verification system based on the optical communication technology utilizes cloud computing and big data analysis to evaluate risks in the using process of the ticket in real time, and forms a ticket risk evaluation system.
2. The ticket anti-counterfeiting method according to claim 1, wherein the ticket transaction information and the verification data are recorded by using a blockchain technology, the ticket information is stored in an encrypted manner through an encryption algorithm, the ticket transaction is verified and controlled by using an intelligent contract, and the step of generating the blockchain-based ticket recording and authentication system is specifically as follows:
the merck tree structure is adopted to sort the transaction data of the ticket, and a ticket transaction data structure is generated;
based on the ticket transaction data structure, carrying out data hash processing by using a secure hash algorithm to generate a ticket transaction hash value;
encrypting the ticket transaction hash value by adopting a public key encryption technology to generate encrypted ticket transaction information;
based on the encrypted ticket transaction information, verifying and controlling the transaction by utilizing an intelligent contract, and generating a ticket record and authentication system based on a blockchain.
3. The ticket anti-counterfeiting method according to claim 1, wherein the ticket recording and authentication system based on the blockchain adopts a deep learning algorithm to identify and analyze the ticket image data, ensures the uniqueness of the ticket, and the step of forming the ticket image identification model comprises the following steps:
Extracting features of the ticket image by adopting a convolutional neural network to obtain a ticket image feature set;
based on the ticket image feature set, carrying out classification training by using a support vector machine to generate a ticket image classification model;
based on the ticket image classification model, identifying a new ticket image by using the ticket image classification model to generate a ticket image classification result;
and carrying out deep learning analysis on the ticket image classification result to determine the uniqueness of the ticket and form a ticket image recognition model.
4. The ticket anti-counterfeiting method according to claim 1, wherein the ticket is authenticated by adopting a radio spectrum fingerprint technology based on the ticket image recognition model, so as to ensure the uniqueness of the ticket, and the step of forming a ticket authentication system of the radio spectrum fingerprint is specifically as follows:
acquiring amplitude, phase and frequency information of a radio signal to obtain ticket original spectrum data;
performing spectrum analysis by using fast Fourier transform based on the ticket original spectrum data to generate ticket spectrum fingerprints;
performing pattern matching and verification on the ticket spectrum fingerprint to generate a ticket spectrum verification result;
and based on the ticket spectrum verification result, ensuring the uniqueness of the ticket and forming a ticket authentication system of the radio spectrum fingerprint.
5. The ticket anti-counterfeiting method according to claim 1, wherein the step of forming the internet of things ticket tracking system by tracking and recording the position and state information of the ticket in real time by using the internet of things technology based on the ticket authentication system of the radio spectrum fingerprint is specifically as follows:
installing a GPS module and a sensor on the ticket to collect real-time position and state information of the ticket and generate real-time position and state information data;
based on the real-time position and state information data, transmitting the data to a central server by using an ad hoc network wireless communication technology to form real-time data received by the central server;
the central server processes and analyzes the real-time data, optimizes the accuracy of the data by using an optimal filtering method based on state estimation, and generates optimized real-time position and state information;
and updating the optimized real-time position and state information to a ticket tracking system in real time through the Internet to form the ticket tracking system of the Internet of things.
6. The ticket anti-counterfeiting method according to claim 1, wherein based on the internet of things ticket tracking system, a physical random number generator is adopted to add a unique identifier to a ticket, and the step of generating the ticket with the random number identifier is specifically as follows:
Generating a random number using a physical random number generator;
based on the random number, generating a unique identifier by adopting a hash function;
binding the unique identifier with real-time position and state information of the ticket tracking system of the Internet of things to generate ticket information after binding;
and storing the bound ticket information into a blockchain to ensure the non-tamper property of data and generate a ticket with a random number mark.
7. The ticket anti-counterfeiting method according to claim 1, wherein based on the ticket with the random number mark, an optical signal is embedded on the ticket by using a visible light communication technology, and reading verification is performed, and the step of forming a ticket verification system based on the optical communication technology specifically comprises the following steps:
converting the ticket information with the random number mark into an optical signal to generate optical signal information;
embedding an optical signal on the ticket based on the optical signal information by using a visible light communication technology to generate the ticket embedded with the optical signal;
reading and verifying the ticket embedded with the optical signal by using an optical signal reader to obtain a verification result of the ticket;
and determining the validity of the ticket according to the verification result of the ticket, and forming a ticket verification system based on the optical communication technology.
8. The ticket anti-counterfeiting method according to claim 1, wherein the ticket verification system based on the optical communication technology utilizes cloud computing and big data analysis to evaluate risks in the using process of the ticket in real time, and the step of forming the ticket risk evaluation system specifically comprises the following steps:
the ticket verification system based on the optical communication technology collects data in the ticket use process and generates a ticket use data set;
based on the ticket use data set, processing and analyzing the data by adopting a big data analysis technology to obtain a ticket use risk analysis result;
uploading the ticket use risk analysis result to a cloud server to generate a cloud risk analysis result;
and updating the ticket risk assessment system in real time based on the cloud risk analysis result to form the ticket risk assessment system.
9. The ticket anti-counterfeiting system is characterized by being used for executing the ticket anti-counterfeiting method according to any one of claims 1-8, and consists of a blockchain recording module, an image recognition module, a frequency spectrum fingerprint authentication module, an internet of things tracking module, a random number identification module and an optical communication verification module;
The block chain recording module adopts a merck tree structure to sort transaction data of the ticket, uses a secure hash algorithm to carry out hash processing, carries out public key encryption after obtaining a hash value, uses an intelligent contract to carry out verification and control, and generates a ticket recording and authentication system based on the block chain;
the image recognition module is based on a ticket recording and authenticating system of a blockchain, adopts a convolutional neural network to extract characteristics of ticket images, adopts a support vector machine to carry out classification training based on the obtained characteristic set, recognizes new ticket images and generates a ticket image recognition model;
the spectrum fingerprint authentication module is based on a ticket image recognition model, collects amplitude, phase and frequency information of a radio signal, performs spectrum analysis by using fast Fourier transform, performs pattern matching and verification on the obtained ticket spectrum fingerprint, and generates a ticket authentication system of the radio spectrum fingerprint;
the internet of things tracking module is based on a frequency spectrum fingerprint authentication system, a GPS module and a sensor are installed on a ticket, real-time position and state information which is collected and transmitted to a central server through an ad hoc network wireless communication technology are updated to the ticket tracking system in real time after optimization, and the internet of things ticket tracking system is generated;
The random number identification module is based on the ticket tracking system of the Internet of things, generates a random number by using a physical random number generator, generates a unique identification by adopting a hash function, binds the unique identification with the real-time position and state information of the ticket tracking system of the Internet of things, and stores the unique identification into a blockchain to generate a ticket with the random number identification;
the optical communication verification module converts ticket information into optical signals based on the ticket with the random number identification and embeds the optical signals into the ticket, an optical signal reader is used for reading and verifying, the validity of the ticket is determined according to the verification result, and a ticket verification system based on the optical communication technology is generated.
10. The ticket anti-counterfeiting system according to claim 9, wherein the blockchain recording module comprises a transaction data arrangement sub-module, a hash processing sub-module, and a public key encryption sub-module;
the image recognition module comprises a feature extraction sub-module, a classification training sub-module and an image recognition sub-module;
the spectrum fingerprint authentication module comprises a signal acquisition sub-module, a spectrum analysis sub-module and a pattern matching sub-module;
the Internet of things tracking module comprises a GPS positioning sub-module, a wireless transmission sub-module and a state optimization sub-module;
The random number identification module comprises a random number generation sub-module, an identification generation sub-module and a state binding sub-module;
the optical communication verification module comprises an optical signal conversion sub-module, an optical signal embedding sub-module and an optical signal reading sub-module.
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