CN102752406A - Risk number abnormality recognition system and method - Google Patents
Risk number abnormality recognition system and method Download PDFInfo
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- CN102752406A CN102752406A CN2012102651756A CN201210265175A CN102752406A CN 102752406 A CN102752406 A CN 102752406A CN 2012102651756 A CN2012102651756 A CN 2012102651756A CN 201210265175 A CN201210265175 A CN 201210265175A CN 102752406 A CN102752406 A CN 102752406A
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Abstract
The invention provides a risk number abnormality recognition system and a method. The system comprises a cloud security platform and at least one called client, the called client is connected with a calling client through a first communication network, and the cloud security platform is connected with each called client through a second communication network. Through the processing of the cloud security platform, negative influences of defraud short messages or defraud calls on a mobile phone user can be effectively reduced.
Description
Technical field
The invention belongs to communication technical field, be specifically related to a kind of risk number abnormality recognition system and method.
Background technology
Along with the develop rapidly of mobile communication, mobile phone becomes indispensable a kind of communication tool in people's daily life already.
But, give people simultaneously easily at mobile phone belt, also brought some troubles to people.For example: at present, some lawless person sends the swindle note to people, and the content of swindle note is of all kinds; For example, the content of swindle note can for: I am the people of financial crime Investigations Section of public security bureau, and you have handled an overdraw card; Owe bank 30,000 yuan, the XX account of please refunding.When the cellphone subscriber received similar swindle note, have following two kinds of dispositions usually: (one) believed the swindle short message content easily, if refund the account, can bring property loss to the cellphone subscriber; (2) do not believe the swindle short message content easily, but still can waste the cellphone subscriber and investigate the regular hour and solve, and, cellphone subscriber's mood also can be influenced.
Therefore, how to effectively reduce swindle note or fraudulent call, have important practical significance the adverse effect that the cellphone subscriber causes.
Summary of the invention
To the defective that prior art exists, the present invention provides a kind of risk number abnormality recognition system and method, through the processing of cloud security platform, can effectively reduce the adverse effect that swindle note or fraudulent call cause the cellphone subscriber.
Technical scheme provided by the invention is following:
The present invention provides a kind of risk number abnormality recognition system, comprises cloud security platform and at least one called party client end; Said called party client end is connected with the calls customer end through first communication network; Be connected through the second communication network between said cloud security platform and each said called party client end.
Preferably, said first communication network comprises mobile telephone communications network network and/or landline telephone communication network; Said second communication network comprises wireline communication network and/or cordless communication network.
Preferably, said wireline communication network is an Ethernet; Said cordless communication network is the communication network based on 802.11 wireless protocols; Said mobile telephone communications network network comprises 2G communication network and/or 3G communication network.
Preferably, said called party client end comprises IP phone and/or landline telephone and/or mobile phone.
The present invention also provides a kind of risk number abnormality recognition methods of using above-mentioned risk number abnormality recognition system, may further comprise the steps:
S1 receives any one when calling out when the called party client termination, and said called party client end obtains the calls customer end number that sends said calling;
S2, said called party client end is searched native contact book, judges whether said calls customer end number is the number of having stored in the said native contact book; If judged result is for being then to carry out S6; If judged result is then carried out S3 for not;
S3, said called party client end sends to said cloud security platform with said calls customer end number;
S4, said cloud security platform is searched the risk directory, judges whether said calls customer end number is the risk number of storing in the said risk directory, if judged result is then carried out S6 for not; If judged result is for being then to carry out S5;
S5, it is the notification message of risk number that said cloud security platform sends said calls customer end number to said called party client end; Handle said calling by the risk communication flow then;
It is the information of right number that S6, said called party client end draw said calls customer end number, and presses the said calling of normal communication flow processing.
Preferably, among the S1, said calling comprises that call and/or note are called out and/or multimedia message is called out; And/or said calls customer end number comprises the telephone number of calls customer end.
Preferably, S3 is specially: after said called party client end is encrypted said calls customer end number, the calls customer end number after encrypting is sent to said cloud security platform through communication network;
After said cloud security platform receives said calls customer end number, at first said calls customer end number is deciphered.
Preferably, among the S4, said risk directory obtains in the following manner:
Each said called party client end initiatively reports the risk number, is specially: the risk content information that the risk number that said each said called party client end of cloud security platform reception is uploaded and this risk number are sent;
Said cloud security platform is analyzed said risk content information, judges the danger of said risk content information by preset rules, and for the risk number corresponding with said risk content information corresponding dangerous weighted value is set;
Said cloud security platform is stored the mapping relations of said risk number and said dangerous weighted value; And/or
Said cloud security platform is initiatively learnt and is discerned the risk number, is specially:
Said cloud security platform carries out autonomous learning based on intelligent neural net, infers risk number algorithmic rule, and according to said risk number algorithmic rule identification risk number.
Preferably, said risk number algorithmic rule is taken all factors into consideration following factor and is drawn: calls customer end number that the calls customer end number of risk number region occurred frequently, frequent calls and fast speed flash are disconnected and the calls customer end number that comprises responsive words.
Preferably, among the S5, saidly handle said calling by the risk communication flow and be specially:
After said called party client termination received that said calls customer end number is the notification message of risk number, said called party client end shielded said calls customer end number; And/or
After said called party client termination received that said calls customer end number is the notification message of risk number, said called party client end added said calls customer end number in the blacklist store list to.
Beneficial effect of the present invention is following:
(1) storage of cloud security platform and real-time update risk directory can effectively increase the authority of the risk number of storing in the risk directory, thereby increase the recognition efficiency of cloud security platform to the identification of risk number.
(2) the cloud security platform is safeguarded the risk directory through following two kinds of approach: (one) each called party client end initiatively reports the risk number to the cloud security platform; (2) the cloud security platform uses intelligent neural net to carry out autonomous learning, progressively improves risk management system; Through these two kinds of approach, can effectively improve the risk identification rate.
(3) when the called party client termination is received the calls customer end number that is not stored in the address list; Just calls customer end number is sent to the cloud security platform and carry out the risk judgement; Rather than the content of the interior perhaps caller phone of caller note is sent to the cloud security platform judge, thereby effectively protected the privacy of called party client end.
Description of drawings
The structural representation of the risk number abnormality recognition system that Fig. 1 provides for the embodiment of the invention;
The schematic flow sheet of the risk number abnormality recognition methods that Fig. 2 provides for the embodiment of the invention.
Embodiment
Below in conjunction with accompanying drawing the present invention is elaborated.
As shown in Figure 1, risk number abnormality recognition system provided by the invention comprises cloud security platform and at least one called party client end; Said called party client end is connected with the calls customer end through first communication network; Be connected through the second communication network between said cloud security platform and each said called party client end.Wherein, said first communication network comprises mobile telephone communications network network and/or landline telephone communication network; Said second communication network comprises wireline communication network and/or cordless communication network.Further, said wireline communication network is an Ethernet; Said cordless communication network is the communication network based on 802.11 wireless protocols; Said mobile telephone communications network network comprises 2G communication network and/or 3G communication network.Among the present invention, the called party client end includes but not limited to IP phone and/or landline telephone and/or mobile phone etc., as long as the called party client end has the function of receipt of call, then all within protection scope of the present invention.
Use said system, as shown in Figure 2, risk number abnormality provided by the invention recognition methods may further comprise the steps:
S1 receives any one when calling out when the called party client termination, and said called party client end obtains the calls customer end number that sends said calling;
In this step, the calling that the called party client termination is received includes but not limited to that call and/or note are called out and/or multimedia message is called out; Calls customer end number comprises the telephone number of calls customer end, certainly, and also can be for the other-end sign of calls customer end, as long as can unique identification calls customer end through this terminal iidentification.
S2, said called party client end is searched native contact book, judges whether said calls customer end number is the number of having stored in the said native contact book; If judged result is for being then to carry out S6; If judged result is then carried out S3 for not;
S3, said called party client end sends to said cloud security platform with said calls customer end number;
For safeguarding the right of privacy of calls customer end and called party client end, after the called party client end can at first be encrypted calls customer end number, the calls customer end number after will encrypting again sent to said cloud security platform through communication network;
After said cloud security platform receives said calls customer end number, at first said calls customer end number is deciphered.And then execution S4.
S4, said cloud security platform is searched the risk directory, judges whether said calls customer end number is the risk number of storing in the said risk directory, if judged result is then carried out S6 for not; If judged result is for being then to carry out S5;
In this step, the risk directory obtains through following dual mode:
(1) each called party client end initiatively reports the risk number
Concrete, the risk content information that the risk number that said each said called party client end of cloud security platform reception is uploaded and this risk number are sent;
Said cloud security platform is analyzed said risk content information, judges the danger of said risk content information by preset rules, and for the risk number corresponding with said risk content information corresponding dangerous weighted value is set;
Said cloud security platform is stored the mapping relations of said risk number and said dangerous weighted value;
(2) the cloud security platform is initiatively learnt and to discern the risk number concrete, and the cloud security platform carries out autonomous learning based on intelligent neural net, infers risk number algorithmic rule, and according to said risk number algorithmic rule identification risk number.Wherein, risk number algorithmic rule is taken all factors into consideration following factor and is drawn: calls customer end number that the calls customer end number of risk number region occurred frequently, frequent calls and fast speed flash are disconnected and the calls customer end number that comprises responsive words.
S5, it is the notification message of risk number that said cloud security platform sends said calls customer end number to said called party client end; Handle said calling by the risk communication flow then;
In this step, the risk communication flow comprises following dual mode:
(1) after the called party client termination received that calls customer end number is the notification message of risk number, the called party client end shielded calls customer end number.
Wherein, Calls customer end number shielded be specially: when the called party client end received the calling that the calls customer end sends once more, the called party client end was hung up this calling automatically, simultaneously; Do not carry out operations such as jingle bell, reach the effect of avoiding this calling to bother called party client end user.
(2) after the called party client termination received that calls customer end number is the notification message of risk number, the called party client end added calls customer end number in the blacklist store list to.
Wherein, The communication flow that calls customer end number is added to after the blacklist store list is: when the called party client end received the calling that the calls customer end sends once more, the called party client end was hung up this calling automatically, does not carry out operations such as jingle bell; Simultaneously; The calls customer end number of this calling initiated in called party client end record, thereby avoiding this calling to bother under called party client end user's the situation, also has to make things convenient for called party client end user to check the effect of call scenario.
It is the information of right number that S6, said called party client end draw said calls customer end number, and presses the said calling of normal communication flow processing.
In sum, risk number abnormality recognition system provided by the invention and method have the following advantages:
(1) storage of cloud security platform and real-time update risk directory can effectively increase the authority of the risk number of storing in the risk directory, thereby increase the recognition efficiency of cloud security platform to the identification of risk number.
(2) the cloud security platform is safeguarded the risk directory through following two kinds of approach: (one) each called party client end initiatively reports the risk number to the cloud security platform; (2) the cloud security platform uses intelligent neural net to carry out autonomous learning, progressively improves risk management system; Through these two kinds of approach, can effectively improve the risk identification rate.
(3) when the called party client termination is received the calls customer end number that is not stored in the address list; Just calls customer end number is sent to the cloud security platform and carry out the risk judgement; Rather than the content of the interior perhaps caller phone of caller note is sent to the cloud security platform judge, thereby effectively protected the privacy of called party client end.
The above only is a preferred implementation of the present invention; Should be pointed out that for those skilled in the art, under the prerequisite that does not break away from the principle of the invention; Can also make some improvement and retouching, these improvement and retouching also should be looked protection scope of the present invention.
Claims (10)
1. a risk number abnormality recognition system is characterized in that, comprises cloud security platform and at least one called party client end; Said called party client end is connected with the calls customer end through first communication network; Be connected through the second communication network between said cloud security platform and each said called party client end.
2. risk number abnormality recognition system according to claim 1 is characterized in that said first communication network comprises mobile telephone communications network network and/or landline telephone communication network; Said second communication network comprises wireline communication network and/or cordless communication network.
3. risk number abnormality recognition system according to claim 1 is characterized in that said wireline communication network is an Ethernet; Said cordless communication network is the communication network based on 802.11 wireless protocols; Said mobile telephone communications network network comprises 2G communication network and/or 3G communication network.
4. risk number abnormality recognition system according to claim 1 is characterized in that said called party client end comprises IP phone and/or landline telephone and/or mobile phone.
5. the risk number abnormality recognition methods of each said risk number abnormality recognition system of application rights requirement 1-4 is characterized in that, may further comprise the steps:
S1 receives any one when calling out when the called party client termination, and said called party client end obtains the calls customer end number that sends said calling;
S2, said called party client end is searched native contact book, judges whether said calls customer end number is the number of having stored in the said native contact book; If judged result is for being then to carry out S6; If judged result is then carried out S3 for not;
S3, said called party client end sends to said cloud security platform with said calls customer end number;
S4, said cloud security platform is searched the risk directory, judges whether said calls customer end number is the risk number of storing in the said risk directory, if judged result is then carried out S6 for not; If judged result is for being then to carry out S5;
S5, it is the notification message of risk number that said cloud security platform sends said calls customer end number to said called party client end; Handle said calling by the risk communication flow then;
It is the information of right number that S6, said called party client end draw said calls customer end number, and presses the said calling of normal communication flow processing.
6. risk number abnormality according to claim 5 recognition methods is characterized in that, among the S1, said calling comprises that call and/or note are called out and/or multimedia message is called out; And/or said calls customer end number comprises the telephone number of calls customer end.
7. risk number abnormality according to claim 5 recognition methods; It is characterized in that; S3 is specially: after said called party client end is encrypted said calls customer end number, the calls customer end number after encrypting is sent to said cloud security platform through communication network;
After said cloud security platform receives said calls customer end number, at first said calls customer end number is deciphered.
8. risk number abnormality according to claim 5 recognition methods is characterized in that, among the S4, said risk directory obtains in the following manner:
Each said called party client end initiatively reports the risk number, is specially: the risk content information that the risk number that said each said called party client end of cloud security platform reception is uploaded and this risk number are sent;
Said cloud security platform is analyzed said risk content information, judges the danger of said risk content information by preset rules, and for the risk number corresponding with said risk content information corresponding dangerous weighted value is set;
Said cloud security platform is stored the mapping relations of said risk number and said dangerous weighted value; And/or
Said cloud security platform is initiatively learnt and is discerned the risk number, is specially:
Said cloud security platform carries out autonomous learning based on intelligent neural net, infers risk number algorithmic rule, and according to said risk number algorithmic rule identification risk number.
9. risk number abnormality according to claim 8 recognition methods; It is characterized in that said risk number algorithmic rule is taken all factors into consideration following factor and drawn: calls customer end number that the calls customer end number of risk number region occurred frequently, frequent calls and fast speed flash are disconnected and the calls customer end number that comprises responsive words.
10. risk number abnormality according to claim 5 recognition methods is characterized in that, among the S5, saidly handles said calling by the risk communication flow and is specially:
After said called party client termination received that said calls customer end number is the notification message of risk number, said called party client end shielded said calls customer end number; And/or
After said called party client termination received that said calls customer end number is the notification message of risk number, said called party client end added said calls customer end number in the blacklist store list to.
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| CN2012102651756A CN102752406A (en) | 2012-07-30 | 2012-07-30 | Risk number abnormality recognition system and method |
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| CN103841123A (en) * | 2012-11-20 | 2014-06-04 | 中国电信股份有限公司 | Number information obtaining method and obtaining system, and cloud number information system |
| CN103945349A (en) * | 2014-04-28 | 2014-07-23 | 太仓红码软件技术有限公司 | Message reply system |
| CN104702804A (en) * | 2015-01-28 | 2015-06-10 | 北京羽乐创新科技有限公司 | Method and device for marking number |
| CN105100514A (en) * | 2015-09-01 | 2015-11-25 | 北京乐动卓越科技有限公司 | Caller ID analyzing-reminding method and system based on cloud server database |
| CN106327221A (en) * | 2016-09-30 | 2017-01-11 | 北京中科寒武纪科技有限公司 | Device and method for preventing telemarketing scam |
| CN109698883A (en) * | 2019-01-17 | 2019-04-30 | 广州市众禾信息科技有限公司 | A kind of identification of incoming number and management-control method |
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| CN106327221A (en) * | 2016-09-30 | 2017-01-11 | 北京中科寒武纪科技有限公司 | Device and method for preventing telemarketing scam |
| CN109698883A (en) * | 2019-01-17 | 2019-04-30 | 广州市众禾信息科技有限公司 | A kind of identification of incoming number and management-control method |
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Application publication date: 20121024 |