CN115310117A - Remote monitoring operation and maintenance system for central air conditioner - Google Patents
Remote monitoring operation and maintenance system for central air conditioner Download PDFInfo
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Abstract
The invention relates to the field of data processing, in particular to a remote monitoring operation and maintenance system of a central air conditioner. The processing system comprises a data collector and a controller, wherein the collector is used for collecting the operation and maintenance data sequence of the central air conditioner in real time, and the controller is used for: the method comprises the steps of acquiring data to obtain a matrix sequence, generating a first sequence formed by directional coefficient vectors, obtaining the directional coefficient vector of each first data according to the matrix sequence, obtaining encryption parameter data of the first data according to the directional coefficient vectors, constructing an encryption model according to the encryption parameter data and the directional coefficient vectors, encrypting the matrix sequence according to the encryption model to obtain a ciphertext matrix sequence, and transmitting the ciphertext matrix sequence to a central air conditioner remote monitoring operation and maintenance system, so that the encryption of the central air conditioner operation and maintenance data is realized, some important data in the central air conditioner operation and maintenance data are effectively prevented from being stolen, and the operation and maintenance safety of the central air conditioner is improved.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a remote monitoring operation and maintenance system of a central air conditioner.
Background
The central air conditioner is an important refrigerating and heating tool, the operation effect of the central air conditioner directly affects the experience of a user, and therefore, a remote monitoring operation and maintenance system is required to be used for monitoring the operation condition of the central air conditioner in real time and regulating and controlling the central air conditioner in real time. The operation and maintenance of a general air conditioner is realized by analyzing operation and maintenance data by a professional to remotely regulate and control the air conditioner, and sensitive data or important control instructions of an operation and maintenance system are easily leaked when the operation and maintenance data are stolen in transmission, so that the safety of the air conditioner is threatened. Therefore, in order to avoid stealing the operation and maintenance data of the air conditioner in the transmission process, encryption processing needs to be performed on the transmitted operation and maintenance.
Some data values in the operation and maintenance data of the central air conditioner may be the same or have similar variation trends, and the operation and maintenance data have certain periodic similarity, so that the data have a certain incidence relation, the incidence relation of the data is difficult to break through by obtaining ciphertext data by a traditional encryption method, or the incidence relation of the data can be broken through paying huge calculation amount, so that the data decryption can be easily completed through analyzing statistical characteristics or breaking violently, or the encryption calculation amount is huge, and the data cannot be used.
In view of the above situation, the invention provides a remote monitoring operation and maintenance system for a central air conditioner, wherein different direction coefficient vectors are distributed to each piece of first data, and the number of items of an encryption model is determined according to the evaluation condition of the first data with the same direction coefficient vectors through analysis, so that the encrypted data is difficult to crack through an anti-decryption mode.
Disclosure of Invention
In order to solve the above technical problems, an object of the present invention is to provide a remote operation and maintenance monitoring system for a central air conditioner, wherein the processing system includes a signal collector and a controller, the signal collector is configured to collect an operation and maintenance data sequence of the central air conditioner in real time, and the controller is configured to:
acquiring a central air conditioner operation and maintenance data sequence, coordinates of each first data in the central air conditioner operation and maintenance data sequence and a first dimension of each first data;
generating a first sequence, wherein each element in the first sequence is a direction coefficient vector, and the direction coefficient vector of each first data is determined in the first sequence according to the coordinate of each first data;
dividing first data with the same directional coefficient vector into a data set to obtain a plurality of data sets, obtaining the value amplitude and the number of approximate data of each first data according to each data set, and obtaining the cracking difficulty of each first data according to the value amplitude and the number of approximate data of each first data;
constructing an optimal encryption model of each first data according to the cracking difficulty of each first data, the first dimension and the direction coefficient vector of each first data;
taking the solution of the optimal encryption model as ciphertext data of each first data;
and forming a ciphertext data sequence by using the ciphertext data of all the first data, and transmitting the ciphertext data sequence as an encryption result of the operation and maintenance data of the central air conditioner.
Preferably, the constructing an optimal encryption model of each first data according to the cracking difficulty of each first data, the first dimension and the direction coefficient vector of each first data is as follows:
wherein the content of the first and second substances,
preceding the directional coefficient vector of the ith first data
The data of the dimensions is represented by the dimension,
a first dimension representing the ith first data,
indicating the difficulty of cracking the ith first data,
indicating the ith first data.
Preferably, the method for determining the directional coefficient vector of each first data in the first sequence according to the coordinates of each first data comprises:
acquiring the number of direction coefficient vectors contained in the first sequence, and calculating the position of the direction coefficient vector of each first data in the first sequence according to the number and the coordinates of each first data;
the directional coefficient vector at the position in the first sequence is taken as the directional coefficient vector of each first data.
Preferably, the formula for calculating the position of the directional coefficient vector of each first datum in the first sequence is as follows:
wherein the content of the first and second substances,
a line coordinate representing the ith first data,
column coordinates indicating the ith first data,
representing the number of vectors containing directional coefficients in the first sequence,
a position of a directional coefficient vector representing the first data in the first sequence,
representing a remainder symbol.
Preferably, the method for obtaining the value amplitude and the number of approximate data of each first data according to each data set includes:
taking the information entropy of all data in the data set as the value amplitude of each first data in the data set;
any first data in the data set is recorded as second data, other data except the second data in the data set is recorded as third data, the second data and each third data are subjected to difference to obtain a difference value, the third data with the difference value absolute value smaller than a first preset threshold value are used as approximate data of the second data, and the number of all the approximate data of the second data is used as the number of the approximate data of the second data, namely the number of the approximate data of each first data.
Preferably, the formula for calculating the cracking difficulty of each first data is as follows:
wherein the content of the first and second substances,
indicating the value amplitude of the ith first data,
indicating the number of approximation data of the ith first data,
is shown as
The difficulty of cracking the first data,
is a pair of
And performing rounding-down processing.
Preferably, the method for acquiring the central air-conditioning operation and maintenance data sequence, the coordinates of each first data in the central air-conditioning operation and maintenance data sequence, and the first dimension of each first data includes:
acquiring an air conditioner operation and maintenance data sequence, wherein the air conditioner operation and maintenance data sequence is composed of a plurality of first data;
dividing each air conditioner operation and maintenance data sequence into a plurality of subsequences, converting each subsequence into a two-dimensional matrix of each subsequence, and forming the two-dimensional matrix of all subsequences into a two-dimensional matrix sequence;
and acquiring the coordinate of each first data in the two-dimensional matrix, and acquiring the position of the two-dimensional matrix where each first data is located in the two-dimensional matrix sequence as the first dimension of each first data.
The invention has the following beneficial effects: according to the method, different direction coefficient vectors are distributed to each piece of data, the number of terms of the encryption equation is determined by analyzing the value conditions of operation and maintenance data corresponding to the same direction coefficient vector, the direction coefficient vector is used as a constant coefficient of the equation, each operation and maintenance data is used as a function value component to output the encryption equation, and therefore the constructed encryption equation can be guaranteed to contain proper number of terms, the calculation amount of encryption is not increased, and meanwhile the encryption equation can be prevented from being solved. A plurality of groups of feasible solutions are obtained by solving the encryption equation, one feasible solution is selected from all the feasible solutions to be used as the encrypted data of the operation and maintenance data, the encrypted data obtained in the mode has no statistical characteristics, the incidence relation among the data is broken, and the encrypted data is difficult to break through statistical analysis.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions and advantages of the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a flowchart illustrating the general steps of a remote monitoring operation and maintenance system for a central air conditioner according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
Referring to fig. 1, a flowchart of a remote operation and maintenance monitoring system for a central air conditioner according to an embodiment of the present invention is shown, where the method includes:
s001: and acquiring data to construct a two-dimensional matrix and generating a first sequence.
1. And collecting data to construct a two-dimensional matrix.
Acquiring an operation maintenance data sequence of the central air conditioner, wherein the operation maintenance data comprises:
(1) Meteorological data, including indoor temperature, humidity, wind speed;
(2) And the operation data comprises cold source operation data, freezing side hydraulic operation data, cooling side hydraulic operation data, tail end air disc operation data and tail end fan unit operation data.
And splicing the meteorological data and the operation data acquired at each moment together to form an operation and maintenance data subsequence at one moment, and splicing the operation and maintenance data subsequences at all moments together to form a one-dimensional operation and maintenance data sequence.
In order to facilitate subsequent encryption processing, a plurality of two-dimensional matrixes are constructed from the one-dimensional operation and maintenance data sequence. The specific method for obtaining a plurality of two-dimensional matrices according to the operation maintenance data sequence is as follows:
uniformly dividing one-dimensional running data sequence into
Has a length of
Into which each sub-sequence is divided
Each length is
Data segment of will
Has a length of
Data segment conversion to
The matrix is referred to as a two-dimensional matrix. The sequence formed by all the two-dimensional matrixes is a matrix sequence, and each element in the matrix sequence is a two-dimensional matrix.
2. A first sequence is generated.
(1) Generating an N1-dimensional data sequence by using chaotic mapping, and the scheme
10000 was taken. It should be noted that the function parameters of the chaotic map are well agreed by both parties, so that transmission is not needed.
(2) And obtaining a direction coefficient vector according to the data sequence.
Will be provided with
The dimension data sequence is generated by random permutation and combination
An
Vector of dimensions, each
The vector of dimensions is taken as a directional coefficient vector. Forming a first sequence by all the direction coefficient vectors, wherein each element in the first sequence is each direction coefficient vector; in the scheme
100 is taken.
The method for forming a first sequence by all the directional coefficient vectors is as follows: sorting all direction coefficient vectors according to data of a first dimension in each direction coefficient vector, placing the direction coefficient vector with larger first dimension data in front, sorting the direction coefficient vectors of the same first dimension data according to the size of second dimension data when the data of the first dimension is the same, arranging the direction coefficient vectors with larger second dimension data in front, and so on, arranging the direction coefficient vectors according to the size of each position to obtain the position of each direction coefficient vector, and taking a sequence obtained by arranging all the direction coefficient vectors according to the positions as a first sequence.
S002: and constructing an encryption model, and encrypting the matrix sequence by using the encryption model to obtain a ciphertext matrix sequence.
1. And determining a direction coefficient vector of each coordinate position data according to the matrix coordinates.
Recording each data in each two-dimensional matrix in the matrix sequence as a first data, and recording the first data of a certain two-dimensional matrix
The first data is taken as an example to explain a selection method of each first data direction coefficient vector in the two-dimensional matrix, which specifically comprises the following steps:
obtaining the line coordinate of the ith first data
And column coordinates
Obtaining the number of elements contained in the first sequence
. Obtaining the position of the direction coefficient vector of the ith first data in the first sequence according to the row and column coordinates of the ith first data, wherein the position of the direction coefficient vector of the ith first data in the first sequence is as follows:
wherein% represents a remainder symbol by
Obtaining a directional coefficient vector of the ith first data in the two-dimensional matrix,
a dimension of a directional coefficient vector representing the ith first data in the two-dimensional matrix in the first sequence,
representing a remainder symbol.
In the first sequence, obtain
And the direction coefficient vector of each position is the direction coefficient vector of the ith first data.
In a similar way, each first data in each two-dimensional matrix can obtain a direction coefficient vector, and because the direction coefficient vectors for encrypting each first data are different, the different direction coefficient vectors adopt different encryption effects on the first data at each position, so that the encryption diversity is increased, the spatial relevance of the two-dimensional matrix can be effectively broken, and the decryption difficulty can be increased.
1. And encrypting the matrix sequence according to the direction coefficient vector to obtain a ciphertext matrix sequence.
(1) First, a simple encryption model is given for encryption:
for the first in a certain two-dimensional matrix
A first data
For the first data
Using cryptographic modelsThe specific method for performing encryption is as follows:
first, the
A first data
The corresponding directional coefficient vector is noted as
From the direction vector
In obtaining the first 4-dimensional data
Using the 4 data and the first data
Construction of the independent variables
Polynomial of (2)
. Infinite solutions exist in the polynomial, one group of solutions are randomly extracted in the infinite solutions, and a group of randomly extracted solutions are recorded as a solution sequence
Will solve the sequence
Taking the encrypted three-channel value as the ith first data;
then, according to the direction coefficient vectors of all the first data, respectively encrypting all the first data in the two-dimensional matrix to obtain a three-channel ciphertext matrix, wherein
The value of the ith data of the first channel ciphertext matrix in the three-channel ciphertext matrix,
the value of the ith data of the second channel ciphertext matrix obtained by the two-dimensional matrix encryption,
and (4) obtaining the value of the ith data of the ciphertext matrix of the third channel by encrypting the two-dimensional matrix.
So far, a two-dimensional matrix is encrypted into a three-channel ciphertext matrix by using the encryption method, and the three-channel ciphertext matrices of all the two-dimensional matrices form a ciphertext matrix sequence;
the encryption method randomly selects a group of solutions in all solution spaces as ciphertext data, the same plaintext data can be encrypted into different ciphertext data, different plaintext data can be encrypted into the same ciphertext data, therefore, the statistical characteristics in the ciphertext image are different from the statistical characteristics of the plaintext image, an attacker cannot carry out statistical analysis attack on the ciphertext image according to the rule of the statistical characteristics of the ciphertext image, the encryption rule is difficult to obtain through the statistical characteristics, the difficulty of brute force cracking of the ciphertext image is increased, the encryption and decryption operation of the encryption model is really a simple linear model, and the calculation amount and the calculation speed are high.
However, the operation and maintenance data of the central air conditioner has certain periodicity characteristics, so that a large amount of data with the same value exists in a matrix sequence obtained by utilizing the periodic data, and when a plurality of data with the same value exist in the matrix sequence and direction coefficient vectors corresponding to the data are the same, the encryption mode is easy to solve the corresponding plaintext data in an inverse solution mode. For example, if there are multiple data values in the matrix sequence that are the same and the corresponding directional coefficient vectors of the multiple data are the same, an equation set is constructed, and each equation in the equation set is
Are the same, while each formula
When the ciphertext matrix is public, at this time
It is known that the unknowns of the equation set at this time are four data in the undisclosed directional coefficient vector
And plaintext data of two-dimensional matrix
Thus, the plaintext data is now obtained by solving the equation set. To address this problem, a complex encryption model is provided below.
(1) Then an optimal encryption model is given for encryption:
through analysis, it can be known that the number of approximate data corresponding to the same direction coefficient vector in the matrix sequence is more than the number of unknown numbers, so that the number of unknown numbers needs to be further determined according to the number of the same data corresponding to the same direction vector in the matrix sequence, and the approximate data refers to data with similar values. Meanwhile, when the values of the data corresponding to the coefficient vectors in the same direction in the matrix sequence are similar, the plaintext data in the matrix sequence can be solved, so that the values and amplitudes of the data corresponding to the vectors in the same direction need to be analyzed to determine the number of positions, which is specifically as follows:
a. calculating the value amplitude:
dividing first data with the same direction coefficient vector in a matrix sequence into a category set, dividing all the first data in the matrix sequence into a plurality of category sets, obtaining the category set to which the ith first data of the matrix sequence belongs, recording the category set as a first category set, and calculating by utilizing all the first data of the first category to obtain an information entropy value
Entropy of information
As the value amplitude of the category set in which the ith first data is located,
the greater the data value in the first category set is, the more complicated the data value is, that is, the probability that the value in the first category set is close to the ith first data value is smaller, the equation set in (1) is difficult to establish, or the solution result is only approximate, and an accurate plaintext cannot be obtained.
b. Obtaining the number of approximate data:
respectively arranging each first data in the first category set to the ith first data
Subtracting to obtain difference of the first data, and making the difference be less than first threshold
As approximate data of the ith first data, the first data in the first category is counted
Number of approximate data of first data
。
c. And (3) establishing an encryption model according to the number of each value range of the approximate data:
the position of the two-dimensional matrix to which the ith first data belongs in the matrix sequence is acquired and recorded as
。
Difficulty in calculating ith first data
The cracking difficulty is determined by the value range of the category set where the ith first data is located and the number of the approximate data, and the cracking difficulty calculation formula is as follows:
wherein
Presentation pair
And (5) carrying out downward rounding processing.
Obtaining the previous direction coefficient vector from the ith first data
Data of individual position
Using the front of the directional coefficient vector
Dimension data
Constructing an encryption model as constant parameters:
wherein in the formula
Is known, therefore
It is known that at the same time
Can obtain the first data
As is known, the unknown data in the current formula are only
。
All feasible solutions of the expression are solved, and one group of solutions is randomly selected from all feasible solutions
Will be
And taking the encrypted three-channel value as the ith first data, and encrypting the two-dimensional matrix to obtain a three-channel ciphertext matrix, wherein the three-channel ciphertext matrix is obtained
The value of the ith data of the ciphertext matrix of the first channel obtained by encrypting the two-dimensional matrix,
the value of the ith data of the ciphertext matrix of the second channel obtained by encrypting the two-dimensional matrix,
and (4) obtaining the value of the ith data of the ciphertext matrix of the third channel by encrypting the two-dimensional matrix.
And encrypting all the two-dimensional matrixes of the matrix sequence to obtain a ciphertext matrix sequence, wherein each element of the ciphertext matrix sequence is a three-channel ciphertext matrix.
The number of constant coefficients in the equation can be determined according to the similar value condition of all data with the same direction coefficient vector in the matrix sequence through the encryption model, and when the number of the constant coefficients is more than the number of the similar data in the matrix sequence, the plaintext data in the matrix sequence is difficult to determine through solving the equation mode.
And transmitting the ciphertext matrix sequence to a central air-conditioning remote monitoring operation and maintenance system.
S003: and decrypting the ciphertext matrix sequence to obtain the matrix sequence.
The following description takes the decryption method of the ciphertext data obtained by the complex encryption model as an example, and specifically includes the following steps:
each two-dimensional matrix of the matrix sequence is encrypted into a three-channel ciphertext matrix, so that the matrix sequence can obtain a corresponding ciphertext matrix sequence, and each element of the ciphertext data sequence is a three-channel ciphertext matrix.
Obtaining the row-column coordinates of the ith second data
Obtaining the position of the three-channel ciphertext matrix where the ith second data is located in the ciphertext matrix sequence
。
And obtaining a direction coefficient vector of the ith second data according to the row and column coordinates where the ith second data is located in the second step. Obtaining the ith second data
Before obtaining in the direction coefficient vector
Data of a person
Will be preceded by
The data is used as a constant coefficient of a complex encryption model, so that the ith second data obtained by decryption is as follows:
the remote monitoring operation and maintenance system decrypts the transmitted ciphertext matrix sequence by using the method in the S003, displays the decrypted matrix sequence data on a monitoring screen, and realizes the operation and maintenance abnormity judgment of the central air conditioner by analyzing the data on the monitoring screen.
In summary, in the embodiments of the present invention, different direction coefficient vectors are allocated to each data, the number of terms of the encryption equation is determined by analyzing the value taking condition of the operation and maintenance data corresponding to the same direction coefficient vector, the direction coefficient vector is used as a constant coefficient of the equation, and each operation and maintenance data is used as a function value component to generate the encryption equation, so that the constructed encryption equation can be ensured to contain an appropriate number of terms, the calculation amount of encryption is not increased, and the solution can be prevented. A plurality of groups of feasible solutions are obtained by solving the encryption equation, one feasible solution is selected from all the feasible solutions to be used as the encrypted data of the operation and maintenance data, and the encrypted data obtained in the mode has no statistical characteristics and is difficult to crack through statistical analysis.
It should be noted that: the sequence of the above embodiments of the present invention is only for description, and does not represent the advantages or disadvantages of the embodiments. The processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
All the embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from other embodiments.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (7)
1. The utility model provides a central air conditioning remote monitoring operation and maintenance system which characterized in that, processing system includes signal collector and controller, signal collector is used for gathering central air conditioning operation and maintenance data sequence in real time, the controller is used for:
acquiring a central air conditioner operation and maintenance data sequence, coordinates of each first data in the central air conditioner operation and maintenance data sequence and a first dimension of each first data;
generating a first sequence, wherein each element in the first sequence is a direction coefficient vector, and the direction coefficient vector of each first data is determined in the first sequence according to the coordinate of each first data;
dividing first data with the same directional coefficient vector into a data set to obtain a plurality of data sets, obtaining the value amplitude and the number of approximate data of each first data according to each data set, and obtaining the cracking difficulty of each first data according to the value amplitude and the number of approximate data of each first data;
constructing an optimal encryption model of each first data according to the cracking difficulty of each first data, the first dimension and the direction coefficient vector of each first data;
taking the solution of the optimal encryption model as ciphertext data of each first data;
and forming ciphertext data sequences by using the ciphertext data of all the first data, and transmitting the ciphertext data sequences as the encryption result of the operation and maintenance data of the central air conditioner.
2. The remote operation and maintenance monitoring system for the central air conditioner as claimed in claim 1, wherein the optimal encryption model for each first data constructed according to the difficulty of cracking each first data, the first dimension and the direction coefficient vector of each first data is as follows:
wherein the content of the first and second substances,
preceding the directional coefficient vector of the ith first data
The data of the dimensions is represented by the dimension,
a first dimension representing the ith first data,
indicating the difficulty of cracking the ith first data,
indicating the ith first data.
3. The remote operation and maintenance monitoring system for the central air conditioner as claimed in claim 1, wherein the method for determining the direction coefficient vector of each first data in the first sequence according to the coordinate of each first data comprises:
acquiring the number of direction coefficient vectors contained in the first sequence, and calculating the position of the direction coefficient vector of each first data in the first sequence according to the number and the coordinates of each first data;
the directional coefficient vector at the position in the first sequence is taken as the directional coefficient vector of each first data.
4. The remote operation and maintenance monitoring system for the central air conditioner as claimed in claim 3, wherein the formula for calculating the position of the directional coefficient vector of each first datum in the first sequence is:
wherein the content of the first and second substances,
a line coordinate representing the ith first data,
column coordinates representing the ith first data,
representing the number of vectors containing directional coefficients in the first sequence,
a position of a directional coefficient vector representing the first data in the first sequence,
representing a remainder symbol.
5. The remote operation and maintenance monitoring system for the central air conditioner according to claim 1, wherein the method for obtaining the value amplitude and the number of the approximate data of each first data according to each data set comprises:
taking the information entropy of all data in the data set as the value amplitude of each first data in the data set;
any first data in the data set is recorded as second data, other data except the second data in the data set is recorded as third data, the second data and each third data are subjected to difference to obtain a difference value, the third data with the difference value absolute value smaller than a first preset threshold value are used as approximate data of the second data, and the number of all the approximate data of the second data is used as the number of the approximate data of the second data, namely the number of the approximate data of each first data.
6. The remote operation and maintenance monitoring system for the central air conditioner as claimed in claim 5, wherein the formula for calculating the difficulty of cracking each first data is as follows:
wherein the content of the first and second substances,
indicating the amplitude of the ith first data,
indicating the number of approximation data of the ith first data,
is shown as
The difficulty of cracking the first data,
is a pair of
And carrying out downward rounding processing.
7. The system of claim 1, wherein the method for acquiring the operation and maintenance data sequence of the central air conditioner, the coordinates of each first data in the operation and maintenance data sequence of the central air conditioner and the first dimension of each first data comprises:
acquiring an air conditioner operation and maintenance data sequence, wherein the air conditioner operation and maintenance data sequence is composed of a plurality of first data;
dividing each air conditioner operation and maintenance data sequence into a plurality of subsequences, converting each subsequence into a two-dimensional matrix of each subsequence, and forming the two-dimensional matrix of all subsequences into a two-dimensional matrix sequence;
and acquiring the coordinate of each first data in the two-dimensional matrix, and acquiring the position of the two-dimensional matrix where each first data is located in the two-dimensional matrix sequence as the first dimension of each first data.
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| CN103077211A (en) * | 2012-12-28 | 2013-05-01 | 南京师范大学 | Method for scrambling and reducing GIS (Geographic Information system) vector line Thiessen data |
| CN106952212A (en) * | 2017-03-14 | 2017-07-14 | 电子科技大学 | A kind of HOG image characteristics extraction algorithms based on vectorial homomorphic cryptography |
| CN113723440A (en) * | 2021-06-17 | 2021-11-30 | 北京工业大学 | Encrypted TLS application traffic classification method and system on cloud platform |
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Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103077211A (en) * | 2012-12-28 | 2013-05-01 | 南京师范大学 | Method for scrambling and reducing GIS (Geographic Information system) vector line Thiessen data |
| CN106952212A (en) * | 2017-03-14 | 2017-07-14 | 电子科技大学 | A kind of HOG image characteristics extraction algorithms based on vectorial homomorphic cryptography |
| CN113723440A (en) * | 2021-06-17 | 2021-11-30 | 北京工业大学 | Encrypted TLS application traffic classification method and system on cloud platform |
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