CN110351731A - A kind of method and device of phone number antifraud - Google Patents
A kind of method and device of phone number antifraud Download PDFInfo
- Publication number
- CN110351731A CN110351731A CN201810304690.8A CN201810304690A CN110351731A CN 110351731 A CN110351731 A CN 110351731A CN 201810304690 A CN201810304690 A CN 201810304690A CN 110351731 A CN110351731 A CN 110351731A
- Authority
- CN
- China
- Prior art keywords
- phone number
- dimension
- unit time
- antifraud
- verified
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 20
- 238000012545 processing Methods 0.000 claims abstract description 14
- 238000004458 analytical method Methods 0.000 claims description 15
- 238000007619 statistical method Methods 0.000 claims description 10
- 238000003066 decision tree Methods 0.000 claims description 9
- 230000008859 change Effects 0.000 claims description 7
- 230000004044 response Effects 0.000 claims description 7
- 230000008878 coupling Effects 0.000 claims description 3
- 238000010168 coupling process Methods 0.000 claims description 3
- 238000005859 coupling reaction Methods 0.000 claims description 3
- 230000006399 behavior Effects 0.000 claims description 2
- 230000008901 benefit Effects 0.000 claims description 2
- 230000002159 abnormal effect Effects 0.000 claims 2
- 238000005516 engineering process Methods 0.000 abstract description 2
- 238000004891 communication Methods 0.000 description 10
- 238000013480 data collection Methods 0.000 description 7
- 238000007418 data mining Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 238000007405 data analysis Methods 0.000 description 2
- 230000006978 adaptation Effects 0.000 description 1
- HUTDUHSNJYTCAR-UHFFFAOYSA-N ancymidol Chemical compound C1=CC(OC)=CC=C1C(O)(C=1C=NC=NC=1)C1CC1 HUTDUHSNJYTCAR-UHFFFAOYSA-N 0.000 description 1
- 230000009191 jumping Effects 0.000 description 1
- 238000005065 mining Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 230000003442 weekly effect Effects 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M3/00—Automatic or semi-automatic exchanges
- H04M3/22—Arrangements for supervision, monitoring or testing
- H04M3/2281—Call monitoring, e.g. for law enforcement purposes; Call tracing; Detection or prevention of malicious calls
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M3/00—Automatic or semi-automatic exchanges
- H04M3/42—Systems providing special services or facilities to subscribers
- H04M3/42025—Calling or Called party identification service
- H04M3/42034—Calling party identification service
- H04M3/42059—Making use of the calling party identifier
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W12/00—Security arrangements; Authentication; Protecting privacy or anonymity
- H04W12/12—Detection or prevention of fraud
Landscapes
- Engineering & Computer Science (AREA)
- Signal Processing (AREA)
- Computer Security & Cryptography (AREA)
- Computer Networks & Wireless Communication (AREA)
- Technology Law (AREA)
- Telephonic Communication Services (AREA)
Abstract
The invention discloses a kind of method and devices of phone number antifraud, are related to antifraud systems technology field, and method includes: the message registration for obtaining phone number to be verified;It is analyzed according to message registration of the antifraud strategy prestored to the phone number to be verified, judges whether the phone number to be verified is doubtful fraud phone number;If judging the phone number to be verified for doubtful fraud phone number, doubtful fraud is carried out to intercept prompting processing, and the doubtful fraud phone number is saved to black list database.
Description
Technical field
The present invention relates to antifraud systems technology field, in particular to a kind of method and device of phone number antifraud.
Background technique
The antifraud system for the behaviors that solve to make nuisance calls, swindle etc. is to obtain to swindle number mark by crawler mostly at present
Label, establish black list database to the swindle number of acquisition.Black list database based on foundation is realized to doubtful swindle number
It is identified.Black list database needs to update within a certain period of time at present, if obtaining the error of swindle number ticket or losing
Leakage will lead to erroneous judgement or fail to judge.Therefore, such system can intercept known swindle number, but real-time is not high, accidentally
Sentence rate and misdetection rate is higher.
Summary of the invention
The technical issues of scheme that provides according to embodiments of the present invention solves is that antifraud system is unable to real-time update its is black
List data library only intercepts known swindle number, and real-time is not high, and False Rate and misdetection rate are higher.
A kind of method of the phone number antifraud provided according to embodiments of the present invention, comprising:
Obtain the message registration of phone number to be verified;
Analyzed according to message registration of the antifraud strategy prestored to the phone number to be verified, judgement it is described to
Verify whether phone number is doubtful fraud phone number;
If judging, the phone number to be verified for doubtful fraud phone number, carries out interception to doubtful fraud and mentions
It wakes up and handles, and the doubtful fraud phone number is saved to black list database.
A kind of device of the phone number antifraud provided according to embodiments of the present invention, comprising:
Module is obtained, for obtaining the message registration of phone number to be verified;
Judgment module, for being divided according to the antifraud strategy prestored the message registration of the phone number to be verified
Analysis, judges whether the phone number to be verified is doubtful fraud phone number;
Antifraud processing module, for judging the phone number to be verified for doubtful fraud phone number, then to doubtful
It carries out intercepting prompting processing like fraud, and the doubtful fraud phone number is saved to black list database.
A kind of equipment of the phone number antifraud provided according to embodiments of the present invention, the equipment include: processor, with
And the memory with processor coupling;It is anti-that the phone number that can be run on the processor is stored on the memory
The program of the program of fraud, the phone number antifraud executes the equipment according to the disclosure
The method of phone number antifraud provided by embodiment.
A kind of computer storage medium provided according to embodiments of the present invention, is stored with the program of phone number antifraud,
The program of the phone number antifraud provides the computer execution according to the embodiment of the present disclosure
Phone number antifraud method.
The scheme provided according to embodiments of the present invention, compared with prior art, using illegal logical based on big data analysis
Traffic statistics meter information pool obtains the illegal communication by public telephone statistical data collection that various dimensions decision criteria combines according to decision Tree algorithms, leads to
Data mining analysis is crossed, determines whether the user is doubtful fraudulent user.The dependence to independent black list database is got rid of, is mentioned
It is high to determine the accuracy rate of swindle number, to improve the real-time intercepted to swindle number, reduce False Rate and fail to judge
Rate.
Detailed description of the invention
Fig. 1 is a kind of method flow diagram of phone number antifraud provided in an embodiment of the present invention;
Fig. 2 is a kind of schematic device of phone number antifraud provided in an embodiment of the present invention;
Fig. 3 is a kind of schematic diagram of phone number antifraud system provided in an embodiment of the present invention;
Fig. 4 is the specifically intended of each module in Fig. 3 provided in an embodiment of the present invention.
Specific embodiment
Below in conjunction with attached drawing to a preferred embodiment of the present invention will be described in detail, it should be understood that described below is excellent
Select embodiment only for the purpose of illustrating and explaining the present invention and is not intended to limit the present invention.
Fig. 1 is a kind of method flow diagram of phone number antifraud provided in an embodiment of the present invention, as shown in Figure 1, comprising:
Step S101: the message registration of phone number to be verified is obtained;
Step S102: analyzing according to message registration of the antifraud strategy prestored to the phone number to be verified,
Judge whether the phone number to be verified is doubtful fraud phone number;
Step S103: if judging the phone number to be verified for doubtful fraud phone number, to doubtful fraud
It carries out intercepting prompting processing, and the doubtful fraud phone number is saved to black list database.
The embodiment of the invention also includes: obtain big data ticket information;By uniting to the big data ticket information
Meter analysis, obtains the message accounting information pool of M dimension;By being carried out at decision Tree algorithms to the message accounting information pool
Reason, generates and saves the antifraud strategy comprising N number of dimension;Wherein, described M, N are positive integer, and M > N.
Wherein, the message accounting information pool includes duration of call dimension, change in location number dimension, list in the unit time
Position the time in number of calls dimension, in the unit time be called number dimension, in the unit time concurrently be called number dimension, unit when
Interior response percent of call completed dimension and caller release rate dimension in the unit time;The antifraud strategy includes exhaling in the unit time
Cry number dimension, number dimension is called in the unit time, number dimension is concurrently called in the unit time and in the unit time it is main
It is release rate dimension.
Wherein, the antifraud strategy that the basis prestores analyzes the message registration of the phone number to be verified,
Judge the phone number to be verified whether be doubtful fraud phone number include: according to the antifraud strategy that prestores to it is described to
The message registration for verifying phone number is for statistical analysis, generates and is called comprising the number of calls in the unit time, in the unit time
Number, in the unit time concurrently be called number and in the unit time caller release rate antifraud Policy Table;By to described
Antifraud Policy Table carries out calculating analysis, obtains the calculated result of the phone number to be verified;According to the mobile phone to be verified
The calculated result of number judges whether the phone number to be verified is doubtful fraud phone number.
Fig. 2 is a kind of schematic device of phone number antifraud provided in an embodiment of the present invention, as shown in Figure 2, comprising:
Module 201 is obtained, for obtaining the message registration of phone number to be verified;Judgment module 202, for according to the antifraud prestored
Strategy analyzes the message registration of the phone number to be verified, judges whether the phone number to be verified is doubtful take advantage of
Cheat phone number;Antifraud processing module 203, for judge the phone number to be verified for doubtful fraud phone number,
Then doubtful fraud is carried out to intercept prompting processing, and the doubtful fraud phone number is saved to black list database.
The embodiment of the invention also includes antifraud policy module is generated, for obtaining big data ticket information, and by pair
The big data ticket information is for statistical analysis, obtains the message accounting information pool of M dimension, and by the call
Statistical information pond carries out decision Tree algorithms processing, generates and saves the antifraud strategy comprising N number of dimension;Wherein, described M, N are equal
For positive integer, and M > N.
Wherein, the message accounting information pool includes duration of call dimension, change in location number dimension, list in the unit time
Position the time in number of calls dimension, in the unit time be called number dimension, in the unit time concurrently be called number dimension, unit when
Interior response percent of call completed dimension and caller release rate dimension in the unit time;The antifraud strategy includes exhaling in the unit time
Cry number dimension, number dimension is called in the unit time, number dimension is concurrently called in the unit time and in the unit time it is main
It is release rate dimension.
Wherein, the judgment module 202 includes: statistical analysis unit, for according to the antifraud strategy that prestores to described
The message registration of phone number to be verified is for statistical analysis, generates comprising the number of calls, quilt in the unit time in the unit time
Cry number, in the unit time concurrently be called number and in the unit time caller release rate antifraud Policy Table;Calculate analysis
Unit, for obtaining the calculated result of the phone number to be verified by carrying out calculating analysis to the antifraud Policy Table;
Judging unit judges whether the phone number to be verified is doubtful for the calculated result according to the phone number to be verified
Like fraud phone number.
A kind of equipment of phone number antifraud provided in an embodiment of the present invention, the equipment include: processor, Yi Jiyu
The memory of the processor coupling;The phone number antifraud that can be run on the processor is stored on the memory
Program, the program of the phone number antifraud implements equipment execution according to the disclosure
The method of phone number antifraud provided by example.
A kind of computer storage medium provided in an embodiment of the present invention is stored with the program of phone number antifraud, described
When the program of phone number antifraud is executed by processor the following steps are included:
Obtain the message registration of phone number to be verified;
Analyzed according to message registration of the antifraud strategy prestored to the phone number to be verified, judgement it is described to
Verify whether phone number is doubtful fraud phone number;
If judging, the phone number to be verified for doubtful fraud phone number, carries out interception to doubtful fraud and mentions
It wakes up and handles, and the doubtful fraud phone number is saved to black list database.
The computer storage medium of the embodiment of the present invention further include: obtain big data ticket information;By to the big number
It is for statistical analysis according to ticket information, obtain the message accounting information pool of M dimension;By to the message accounting information pool into
The processing of row decision Tree algorithms, generates and saves the antifraud strategy comprising N number of dimension;Wherein, described M, N are positive integer, and M
>N。
Wherein, the message accounting information pool includes duration of call dimension, change in location number dimension, list in the unit time
Position the time in number of calls dimension, in the unit time be called number dimension, in the unit time concurrently be called number dimension, unit when
Interior response percent of call completed dimension and caller release rate dimension in the unit time;The antifraud strategy includes exhaling in the unit time
Cry number dimension, number dimension is called in the unit time, number dimension is concurrently called in the unit time and in the unit time it is main
It is release rate dimension.
Wherein, the antifraud strategy that the basis prestores analyzes the message registration of the phone number to be verified,
Judge the phone number to be verified whether be doubtful fraud phone number include: according to the antifraud strategy that prestores to it is described to
The message registration for verifying phone number is for statistical analysis, generates and is called comprising the number of calls in the unit time, in the unit time
Number, in the unit time concurrently be called number and in the unit time caller release rate antifraud Policy Table;By to described
Antifraud Policy Table carries out calculating analysis, obtains the calculated result of the phone number to be verified;According to the mobile phone to be verified
The calculated result of number judges whether the phone number to be verified is doubtful fraud phone number.
Fig. 3 is a kind of schematic diagram of phone number antifraud system provided in an embodiment of the present invention, as shown in figure 3, including
It counts generation module: by analyzing big data ticket information, obtaining the illegal communication by public telephone statistical information pond for different dimensions;Determine
Module: (export which dimension combination is determining whether user is doubtful by the decision criteria that decision Tree algorithms obtain various dimensions
Like fraudulent user scene in proportion it is bigger), and the illegal communication by public telephone statistical number combined according to various dimensions decision criteria
According to collection, the illegal communication by public telephone statistical data collection is determined, doubtful fraudulent user is judged whether it is;Identification module: according to number
It exports according to mining analysis module as a result, being automatically performed the identification of doubtful fraudulent user.
By analysis big data ticket information (time started, the end time, type of service, event result, business reasons,
Caller, called, bearer types, the duration of call, source office point and purpose office point etc.), it obtains leading to for the illegal of different dimensions
Traffic statistics meter information pool (duration of call dimension, change in location number dimension in the unit time, number of calls dimension in the unit time,
It is called number dimension in unit time, is concurrently called number dimension, response percent of call completed dimension, list in the unit time in the unit time
Caller release rate dimension etc. in the time of position), (calling time in the unit time of various dimensions decision criteria is obtained by decision Tree algorithms
Number dimension is called number dimension, is concurrently called number dimension, caller release rate in the unit time in the unit time in the unit time
Dimension combination).The illegal communication by public telephone statistical information data collection combined according to various dimensions decision criteria is via data mining analysis
Module determines whether the user is doubtful fraudulent user.If the user is doubtful fraudulent user, this number is updated to black name
Single database is simultaneously emitted by corresponding information destination user prompter, it is understood that there may be fraud.
Fig. 4 is the specifically intended of each module in Fig. 3 provided in an embodiment of the present invention, as shown in Figure 4, comprising:
Step 401 --- the associated big data ticket information of bottom will be received, according to user's various dimension (examples of interest
Such as: duration of call dimension, change in location number dimension in the unit time, number of calls dimension in the unit time, in the unit time
Called number dimension is concurrently called number dimension, response percent of call completed dimension, master in the unit time in the unit time in the unit time
It is release rate dimension etc.), illegal communication by public telephone statistical information pond (dimension selected above is obtained via illegal communication by public telephone statistics generation module
Statistical information data collection).
Step 402 --- the decision criteria of various dimensions is obtained by decision Tree algorithms.The model good according to precondition obtains
To the decision criteria of best various dimensions, it is assumed that obtained best dimension are as follows: number of calls dimension in the unit time, in the unit time
Called number dimension is concurrently called number dimension and caller release rate dimension in the unit time in the unit time.
If step 403 --- number to be verified jumps to step 406 in black list database, and triggering is intercepted or reminded
Module.If not jumping to step 404 in black list database.
Step 404 --- the illegal communication by public telephone statistical data collection combined according to various dimensions decision criteria analyzes mould through KNN
Block (KNN by calculate new data between data point different classes of in historical sample data at a distance from classify to new data) sentence
Whether fixed is doubtful fraudulent user.
Wherein, it is as shown in table 1 the illegal communication by public telephone statistical data collection of cell-phone number to be verified, wherein statistical interval may be selected:
Statistics, daily statistics, weekly statistics, monthly statistics etc. per hour.
Table 1: the illegal communication by public telephone statistical data collection table of cell-phone number to be verified
Step 405 --- doubtful fraudulent user processing module receives KNN analysis module and determines result.If it is doubtful fraud
The number is then updated to black list database by user, while triggering interception or reminding module.It is used if not doubtful fraud
Family, then without any processing.
Step 406 --- it is intercepted or is reminded, send corresponding information to called subscriber.
Wherein, data mining algorithm can be KNN (k-NearestNeighbor, K arest neighbors) algorithm, Naive Bayes
(NaiveBayesian classification, naive Bayesian) scheduling algorithm.Oneself of antifraud is described by taking KNN as an example herein
Adaptation process.
The scheme provided according to embodiments of the present invention is obtained by analyzing big data ticket information based on big data analysis
Illegal statistical information pond, according to various dimensions decision criteria, by data mining analysis, N data set before obtaining is final to analyze
Out a possibility that doubtful fraudulent user, the dependence to independent black list database is got rid of, improves the standard for determining swindle number
True rate reduces False Rate and misdetection rate to improve the real-time intercepted to swindle number.
Although describing the invention in detail above, but the invention is not restricted to this, those skilled in the art of the present technique
It can be carry out various modifications with principle according to the present invention.Therefore, all to be modified according to made by the principle of the invention, all it should be understood as
Fall into protection scope of the present invention.
Claims (10)
1. a kind of method of phone number antifraud, comprising:
Obtain the message registration of phone number to be verified;
It is analyzed, is judged described to be verified according to message registration of the antifraud strategy prestored to the phone number to be verified
Whether phone number is doubtful fraud phone number;
If judging the phone number to be verified for doubtful fraud phone number, doubtful fraud intercept at prompting
Reason, and the doubtful fraud phone number is saved to black list database.
2. according to the method described in claim 1, further include:
Obtain big data ticket information;
By for statistical analysis to the big data ticket information, the message accounting information pool of M dimension is obtained;
By carrying out decision Tree algorithms processing to the message accounting information pool, generates and save the antifraud comprising N number of dimension
Strategy;
Wherein, described M, N are positive integer, and M > N.
3. according to the method described in claim 2, the message accounting information pool includes duration of call dimension, position in the unit time
It sets change frequency dimension, number of calls dimension in the unit time, be called number dimension in the unit time, concurrent quilt in the unit time
It is number dimension, response percent of call completed dimension and caller release rate dimension in the unit time in the unit time;The antifraud plan
Slightly include the unit time in number of calls dimension, in the unit time be called number dimension, in the unit time concurrently be called number dimension
Caller release rate dimension in degree and unit time.
4. according to the method described in claim 3, the antifraud strategy that the basis prestores is to the phone number to be verified
Message registration is analyzed, and judges whether the phone number to be verified is that doubtful fraud phone number includes:
It is for statistical analysis according to message registration of the antifraud strategy prestored to the phone number to be verified, it generates comprising single
The number of calls, called number, concurrently called number and caller in the unit time in the unit time in the unit time in the time of position
The antifraud Policy Table of release rate;
By carrying out calculating analysis to the antifraud Policy Table, the calculated result of the phone number to be verified is obtained;
According to the calculated result of the phone number to be verified, judge whether the phone number to be verified is doubtful fraud mobile phone
Number.
5. a kind of device of phone number antifraud, comprising:
Module is obtained, for obtaining the message registration of phone number to be verified;
Judgment module, for being analyzed according to the antifraud strategy prestored the message registration of the phone number to be verified,
Judge whether the phone number to be verified is doubtful fraud phone number;
Antifraud processing module, for judging that the phone number to be verified for doubtful fraud phone number, then takes advantage of to doubtful
Swindleness behavior carries out intercepting prompting processing, and the doubtful fraud phone number is saved to black list database.
6. device according to claim 5 further includes generating antifraud policy module, for obtaining big data ticket letter
Breath, and by for statistical analysis to the big data ticket information, obtain the message accounting information pool of M dimension, Yi Jitong
It crosses and decision Tree algorithms processing is carried out to the message accounting information pool, generate and save the antifraud strategy comprising N number of dimension;
Wherein, described M, N are positive integer, and M > N.
7. device according to claim 6, the message accounting information pool includes duration of call dimension, position in the unit time
It sets change frequency dimension, number of calls dimension in the unit time, be called number dimension in the unit time, concurrent quilt in the unit time
It is number dimension, response percent of call completed dimension and caller release rate dimension in the unit time in the unit time;The antifraud plan
Slightly include the unit time in number of calls dimension, in the unit time be called number dimension, in the unit time concurrently be called number dimension
Caller release rate dimension in degree and unit time.
8. device according to claim 7, the judgment module include:
Statistical analysis unit, for being united according to the antifraud strategy prestored to the message registration of the phone number to be verified
Meter analysis, generate be called comprising the number of calls in the unit time, in the unit time number, be concurrently called in the unit time number with
And in the unit time caller release rate antifraud Policy Table;
Analytical unit is calculated, for obtaining the cell-phone number to be verified by carrying out calculating analysis to the antifraud Policy Table
The calculated result of code;
Whether judging unit judges the phone number to be verified for the calculated result according to the phone number to be verified
For doubtful fraud phone number.
9. a kind of equipment of phone number antifraud, the equipment includes: processor, and the storage with processor coupling
Device;The program for the phone number antifraud that can be run on the processor, the phone number are stored on the memory
It is realized when the program of antifraud is executed by the processor and identifies Network Abnormal according to any one of claims 1 to 4
The step of method.
10. a kind of computer storage medium is stored with the program of phone number antifraud, the program of the phone number antifraud
The step of method of identification Network Abnormal according to any one of claims 1 to 4 is realized when being executed by processor.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810304690.8A CN110351731A (en) | 2018-04-08 | 2018-04-08 | A kind of method and device of phone number antifraud |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201810304690.8A CN110351731A (en) | 2018-04-08 | 2018-04-08 | A kind of method and device of phone number antifraud |
Publications (1)
Publication Number | Publication Date |
---|---|
CN110351731A true CN110351731A (en) | 2019-10-18 |
Family
ID=68172938
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201810304690.8A Pending CN110351731A (en) | 2018-04-08 | 2018-04-08 | A kind of method and device of phone number antifraud |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN110351731A (en) |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104717674A (en) * | 2014-12-02 | 2015-06-17 | 北京奇虎科技有限公司 | Number attribute recognition method and device, terminal and server |
CN106255116A (en) * | 2016-08-24 | 2016-12-21 | 王瀚辰 | A kind of recognition methods harassing number |
CN106791220A (en) * | 2016-11-04 | 2017-05-31 | 国家计算机网络与信息安全管理中心 | Prevent the method and system of telephone fraud |
CN107273531A (en) * | 2017-06-28 | 2017-10-20 | 百度在线网络技术(北京)有限公司 | Telephone number classifying identification method, device, equipment and storage medium |
CN107343077A (en) * | 2016-04-28 | 2017-11-10 | 腾讯科技(深圳)有限公司 | Identify malicious call and establish the method, apparatus of identification model, equipment |
CN107517463A (en) * | 2016-06-15 | 2017-12-26 | ***通信集团浙江有限公司 | A kind of recognition methods of telephone number and device |
CN107889111A (en) * | 2016-09-30 | 2018-04-06 | 北京金山安全软件有限公司 | Crank call identification method and device based on deep neural network |
-
2018
- 2018-04-08 CN CN201810304690.8A patent/CN110351731A/en active Pending
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104717674A (en) * | 2014-12-02 | 2015-06-17 | 北京奇虎科技有限公司 | Number attribute recognition method and device, terminal and server |
CN107343077A (en) * | 2016-04-28 | 2017-11-10 | 腾讯科技(深圳)有限公司 | Identify malicious call and establish the method, apparatus of identification model, equipment |
CN107517463A (en) * | 2016-06-15 | 2017-12-26 | ***通信集团浙江有限公司 | A kind of recognition methods of telephone number and device |
CN106255116A (en) * | 2016-08-24 | 2016-12-21 | 王瀚辰 | A kind of recognition methods harassing number |
CN107889111A (en) * | 2016-09-30 | 2018-04-06 | 北京金山安全软件有限公司 | Crank call identification method and device based on deep neural network |
CN106791220A (en) * | 2016-11-04 | 2017-05-31 | 国家计算机网络与信息安全管理中心 | Prevent the method and system of telephone fraud |
CN107273531A (en) * | 2017-06-28 | 2017-10-20 | 百度在线网络技术(北京)有限公司 | Telephone number classifying identification method, device, equipment and storage medium |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN106384273B (en) | Malicious bill-swiping detection system and method | |
CN100576940C (en) | Short message monitoring center and method for supervising | |
CN106716382B (en) | The method and system of aggregation multiple utility program behavioural analysis for mobile device behavior | |
EP0894378B1 (en) | Signature based fraud detection system | |
CN104301896A (en) | Intelligent fraud short message monitor and alarm system and method | |
CN107819747B (en) | Telecommunication fraud association analysis system and method based on communication event sequence | |
CN110493477A (en) | Swindle number identification method, device, equipment and storage medium | |
CN105589845B (en) | Rubbish text recognition methods, apparatus and system | |
CN109816404B (en) | Telecom fraud group clustering method and telecom fraud group clustering system based on DBSCAN algorithm | |
CN110337059A (en) | A kind of parser, server and the network system of subscriber household relationship | |
CN109145590A (en) | A kind of function hook detection method, detection device and computer-readable medium | |
CN109670974A (en) | A kind of risk monitoring and control method and device, electric terminal | |
CN101686444A (en) | System and method for detecting spam SMS sender number in real time | |
TW201833839A (en) | Service drainage method and device | |
CN102124485B (en) | Apparatus, and associated method, for detecting fraudulent text message | |
CN106600243A (en) | Mobile payment method and system based on mixed mode | |
CN108156336A (en) | A kind of control system based on multiple features weighted model analysis ticket number | |
CN110489984A (en) | Based reminding method, device, computer equipment and the storage medium of backlog | |
WO2022106616A1 (en) | Method and apparatus for user recognition | |
CN110337107A (en) | A kind of fraud text message intelligent monitoring alarm device | |
CN110536302A (en) | Telecommunication fraud based reminding method and device | |
CN105678855A (en) | Method and device capable of conducting attendance checking through gesture actions and being suitable for intelligent mobile terminal | |
CN105323751A (en) | Mobile phone short message monitoring device | |
CN102804732B (en) | The method protecting individual privacy information in the audience measurement of digit broadcasting system | |
CN109885485A (en) | Transaction collision detection method and device |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20191018 |