CN113067947A - Anti-fraud solution method and system based on intelligent outbound - Google Patents
Anti-fraud solution method and system based on intelligent outbound Download PDFInfo
- Publication number
- CN113067947A CN113067947A CN202110280331.5A CN202110280331A CN113067947A CN 113067947 A CN113067947 A CN 113067947A CN 202110280331 A CN202110280331 A CN 202110280331A CN 113067947 A CN113067947 A CN 113067947A
- Authority
- CN
- China
- Prior art keywords
- fraud
- numbers
- call
- suspected
- outbound
- 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 27
- 238000004891 communication Methods 0.000 abstract description 6
- 238000005516 engineering process Methods 0.000 abstract description 6
- 230000008092 positive effect Effects 0.000 abstract description 2
- 241000209202 Bromus secalinus Species 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 241001622623 Coeliadinae Species 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
Images
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
- H04M11/00—Telephonic communication systems specially adapted for combination with other electrical systems
- H04M11/04—Telephonic communication systems specially adapted for combination with other electrical systems with alarm systems, e.g. fire, police or burglar alarm systems
Abstract
The invention relates to an anti-fraud solution method and system based on intelligent outbound, belonging to the technical field of telecommunication communication, wherein the anti-fraud solution method comprises an anti-fraud data platform, an anti-fraud decision engine and an anti-fraud contact center, and timely responding to suspected deceived clues; the method has the advantages that the method cooperates with a telecom operator, more than 90% of calls are outbound calls, few incoming calls are numbers, the call time exceeds a certain time in one day, calling numbers are not recorded and overseas numbers are identified as main and called numbers with high risk of telecom fraud, fraud types, involved money and called affiliation in the calls are analyzed and are summarized, the numbers possibly in the telephone fraud are intelligently dissuaded and prevented through a big data technology and an AI voice technology, all-weather notification, early warning and timely manual intervention in 24 hours can be guaranteed, and the method has a positive effect on fighting and reducing telecom fraud.
Description
Technical Field
The invention relates to the technical field of telecommunication communication, in particular to an anti-fraud solution method and system based on intelligent outbound.
Background
In recent years, with the rapid development of the financial and communication industries in China, people can realize remote contact at any time by using communication technologies such as a telephone system, a mobile phone short message, instant messaging and the like, the frequency of people in contact with each other is higher and higher, and the covered age groups are wider and wider.
Under such a large environment, a new crime mode of telecom fraud appears, namely, initially, taiwan lawless persons carry out fraud to taiwan masses, and with the continuous spread of crime techniques, the technique gradually spreads inwards from coastal areas and is continuously upgraded.
In recent years, the new illegal crimes of the telecommunication network are fiercely and increasingly violent, criminals grasp the weak points of humanity, carefully set up cheats, utilize communication industry to supervise loopholes and bank fund flow convenience, compile false information through channels such as short messages, telephones, networks and the like, set up cheats, implement remote and non-contact cheating to victims, the work coverage of police propaganda and precaution and early warning dissuasion resistance is large, the timeliness and the coverage of pure manual processing are not enough, the anti-fraud notice is difficult to provide in time in all weather for 24 hours, the early warning timeliness is not enough, and the criminal process cannot be intercepted in time.
Disclosure of Invention
Aiming at the defects of the existing method, the invention discloses an anti-fraud solution method and system based on intelligent outbound.
The technical method comprises the following steps: an anti-fraud solution method and system based on intelligent outbound comprises the following steps:
(1) carrying out summary analysis on the suspected fraud data through a telecommunication operator;
(2) grading the cheated clues, wherein different clues of different grades use different dialogues to perform external call persuasion;
(3) recording the unavailability of the dissuasion and assigning a policeman follow-up.
The method comprises the following specific steps:
preferably, the main called numbers subjected to the telecommunication fraud are gathered according to the fraud calling number information, and the calling numbers judged as fraud comprise numbers with calls being outbound more than 90%, numbers with few incoming calls, numbers with call time more than 8 hours in one day, unreported numbers and overseas numbers; and analyzing the communication content of the calling and called numbers receiving the telecom fraud to send out the calling and called numbers, the fraud types, the involved money amounts and the called attributions as suspected fraud data.
Preferably, in ranking the spoofed cues, suspected spoofed cues are identified and compared by analyzing the suspected spoof data.
Preferably, when the outbound call is discouraging, the called number is not connected, and the outbound call continues.
Preferably, when the external call dissuades, the call is dialed by popping the screen of the incoming call and the fixed telephone outside the tail number 110.
Preferably, when the external call is discouraging, the called number is connected, the call record is recorded, and whether discouraging is successful or not is judged according to the call record.
When the steps are carried out, the method further comprises the following steps:
the anti-fraud data platform is used for analyzing and summarizing suspected fraud data of the main called number which is more likely to receive telecommunication fraud through a telecommunication operator;
an anti-fraud decision engine to rank suspected deceived clues and to use different dialects according to the ranking;
an anti-fraud contact center for dissuading external calls using speech techniques;
and the speech management module is used for configuring the AI voice robot to respond to the called voice.
The invention has the beneficial effects that:
the anti-fraud solution and the system for intelligent outbound can intelligently dissuade and prevent the serious situation of anti-fraud by combining a big data technology with an AI voice technology, can ensure all-weather notification, early warning and timely manual intervention within 24 hours, and have positive effects on fighting and reducing telecommunication fraud.
Drawings
FIG. 1 is a block diagram of the system.
Fig. 2 is a data flow diagram.
FIG. 3 is a flow chart of suspected spoofed thread processing.
Detailed Description
For further understanding of the present invention, the present invention will be described in detail with reference to examples, which are provided for illustration of the present invention but are not intended to limit the scope of the present invention.
As shown in fig. 1-3, an anti-fraud solution based on intelligent outbound comprises the following steps:
(1) the method is cooperated with a telecom operator, the calling number is a number which is called out when more than 90% of calls are carried out, few numbers are called in, the number which is called out when the call time exceeds 8 hours in one day, and un-recorded and overseas numbers are identified as fraud calling high-risk numbers, fraud types, involved money amounts and called attributions involved in the calls are summarized, the calling and called numbers, fraud types, involved money amounts and called attributions which are receiving telecommunication fraud are summarized into suspected fraud data and transmitted to an anti-fraud data platform, and suspected fraud clues are further analyzed and identified.
(2) The suspected cheated clues obtained by analyzing the suspected cheated data are pushed to an anti-fraud decision engine, the suspected cheated clues are classified according to fraud types through comparison and analysis, classification results of the suspected cheated clues are subjected to external calling to called numbers corresponding to high-risk calling numbers through a corresponding telephone technology through the anti-fraud decision engine, and calling is assisted by an incoming call popup screen and a tail number 110 external fixed telephone during external calling, so that the reliability is improved.
(3) When external call dissuasion is carried out, whether a called number is connected or not is judged, dissuasion information is identified after the called number is connected, and recording and distributing policemen to follow up are carried out aiming at dissuasion invalidity; if not, continue the outbound call.
The anti-fraud system based on intelligent outbound used in the above steps comprises
The anti-fraud data platform is used for analyzing and summarizing suspected fraud data of the main called number which is more likely to receive telecommunication fraud through a telecommunication operator;
an anti-fraud decision engine to rank the suspected deceived cues according to fraud types and to use different dialogues according to the ranking;
an anti-fraud contact center for dissuading external calls using speech techniques;
and the speech management module is used for configuring the AI voice robot to respond to the called voice.
The present invention and its embodiments have been described above schematically, without limitation, and the embodiments of the present invention are shown in the drawings, and the actual structures are not limited thereto. Therefore, those skilled in the art should understand that they can easily and effectively design and modify the structure and embodiments of the present invention without departing from the spirit and scope of the present invention.
Claims (7)
1. An anti-fraud method based on intelligent outbound is characterized in that: which comprises the following steps:
(1) carrying out summary analysis on the suspected fraud data through a telecommunication operator;
(2) grading the suspected fraud clues in the fraud data, wherein different clues of different grades use different dialogues to externally call and discourage;
(3) recording the unavailability of the dissuasion and assigning a policeman follow-up.
2. The intelligent outbound-based anti-fraud method of claim 1, wherein: the summary of suspected fraud data is analyzed and summarized according to the fraud calling number information, and the calling numbers judged as fraud comprise numbers with calls more than 90% being outbound calls, numbers with few incoming calls, numbers with call time more than 8 hours in a day, unreported numbers and overseas numbers, and fraud types, involved money amounts and called attributions involved in the calls are analyzed and summarized into the suspected fraud data.
3. The intelligent outbound-based anti-fraud method of claim 1, wherein: in ranking the scavenged clues, suspected scavenged clues are identified by analyzing the suspected fraud data and compared according to fraud type.
4. The intelligent outbound-based anti-fraud method of claim 1, wherein: when the outbound call is dissuaded, the called number is not connected, and the outbound call is continued.
5. The intelligent outbound-based anti-fraud method of claim 1, wherein: when the external call is dissuaded, the call is dialed by the incoming call popup screen and the tail number 110 external fixed telephone.
6. The intelligent outbound-based anti-fraud method of claim 1, wherein: when the external call is discouraging, the called number is connected, the call record is recorded, and whether the discouraging is successful or not is judged according to the call record.
7. The intelligent outbound-based anti-fraud system of claim 1, comprising an anti-fraud data platform for analyzing, by a telecommunications carrier, suspected fraud data summarizing the main called-number being subject to a greater probability of telecommunications fraud;
an anti-fraud decision engine to rank the suspected deceived cues according to fraud types and to use different dialogues according to the ranking;
an anti-fraud contact center for dissuading external calls using speech techniques;
and the speech management module is used for configuring the AI voice robot to respond to the called voice.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110280331.5A CN113067947A (en) | 2021-03-16 | 2021-03-16 | Anti-fraud solution method and system based on intelligent outbound |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202110280331.5A CN113067947A (en) | 2021-03-16 | 2021-03-16 | Anti-fraud solution method and system based on intelligent outbound |
Publications (1)
Publication Number | Publication Date |
---|---|
CN113067947A true CN113067947A (en) | 2021-07-02 |
Family
ID=76560550
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202110280331.5A Pending CN113067947A (en) | 2021-03-16 | 2021-03-16 | Anti-fraud solution method and system based on intelligent outbound |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN113067947A (en) |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113746991A (en) * | 2021-09-07 | 2021-12-03 | 上海欣方智能系统有限公司 | Communication control method and system for anti-fraud service |
CN114025049A (en) * | 2021-12-09 | 2022-02-08 | 北京声智科技有限公司 | Call processing method and device, electronic equipment and storage medium |
CN116580692A (en) * | 2023-07-11 | 2023-08-11 | 深圳市安络科技有限公司 | Anti-fraud dissuading method, system, equipment and storage medium based on voice robot |
CN117455498A (en) * | 2023-12-18 | 2024-01-26 | 廊坊博联科技发展有限公司 | Anti-telecommunication phishing intelligent dissuading system and method |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106331390A (en) * | 2016-11-23 | 2017-01-11 | 杭州东信北邮信息技术有限公司 | Method and system for identifying fraud number based on call data |
CN107734128A (en) * | 2017-09-28 | 2018-02-23 | 努比亚技术有限公司 | One kind swindle number identification method and equipment |
CN108134998A (en) * | 2017-12-05 | 2018-06-08 | 南京南邮信息产业技术研究院有限公司 | Information fraud method for early warning and system based on mobile big data |
CN109698884A (en) * | 2017-10-24 | 2019-04-30 | 中国电信股份有限公司 | Fraudulent call recognition methods and system |
CN110381219A (en) * | 2019-06-18 | 2019-10-25 | 武汉华夏理工学院 | A kind of anti-swindle system of communication |
CN110505358A (en) * | 2019-08-09 | 2019-11-26 | 苏州浪潮智能科技有限公司 | A kind of transaudient alarm method of phone and device |
-
2021
- 2021-03-16 CN CN202110280331.5A patent/CN113067947A/en active Pending
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106331390A (en) * | 2016-11-23 | 2017-01-11 | 杭州东信北邮信息技术有限公司 | Method and system for identifying fraud number based on call data |
CN107734128A (en) * | 2017-09-28 | 2018-02-23 | 努比亚技术有限公司 | One kind swindle number identification method and equipment |
CN109698884A (en) * | 2017-10-24 | 2019-04-30 | 中国电信股份有限公司 | Fraudulent call recognition methods and system |
CN108134998A (en) * | 2017-12-05 | 2018-06-08 | 南京南邮信息产业技术研究院有限公司 | Information fraud method for early warning and system based on mobile big data |
CN110381219A (en) * | 2019-06-18 | 2019-10-25 | 武汉华夏理工学院 | A kind of anti-swindle system of communication |
CN110505358A (en) * | 2019-08-09 | 2019-11-26 | 苏州浪潮智能科技有限公司 | A kind of transaudient alarm method of phone and device |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN113746991A (en) * | 2021-09-07 | 2021-12-03 | 上海欣方智能系统有限公司 | Communication control method and system for anti-fraud service |
CN114025049A (en) * | 2021-12-09 | 2022-02-08 | 北京声智科技有限公司 | Call processing method and device, electronic equipment and storage medium |
CN116580692A (en) * | 2023-07-11 | 2023-08-11 | 深圳市安络科技有限公司 | Anti-fraud dissuading method, system, equipment and storage medium based on voice robot |
CN117455498A (en) * | 2023-12-18 | 2024-01-26 | 廊坊博联科技发展有限公司 | Anti-telecommunication phishing intelligent dissuading system and method |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN113067947A (en) | Anti-fraud solution method and system based on intelligent outbound | |
US11343375B2 (en) | Systems and methods for automatically conducting risk assessments for telephony communications | |
CN109348036A (en) | Based on intelligent answer _ human-computer interaction mechanism harassing call countermeasure and system | |
CN102802133B (en) | Junk information identification method, device and system | |
US11252278B2 (en) | System and method for determining unwanted call origination in communications networks | |
CN102572904B (en) | System and method for implementing automatic dial test business | |
CN107770777B (en) | Method for identifying recorded fraud calls | |
CN110072019A (en) | A kind of method and device shielding harassing call | |
CN102572839A (en) | Method and system for controlling voice communication | |
CN109348037A (en) | A kind of anti-harassing and wrecking fixed telephone of anti-swindle based on intelligent answer | |
CN106937007A (en) | System, method and device that a kind of harassing call is reminded | |
CN106850931A (en) | The method and mobile intelligent terminal of Barassment preventing telephone | |
US20040037397A1 (en) | Method and apparatus for human -assisted adaptive outbound telephone call classification based on pattern recognition | |
CN116320160A (en) | Method, device, electronic equipment and storage medium for multi-channel comprehensive anti-fraud intervention | |
CN108810290B (en) | Method and system for recognizing fraud calls | |
CN111917574A (en) | Social network topology model and construction method thereof, user confidence degree and intimacy degree calculation method and telecommunication fraud intelligent interception system | |
CN102932753A (en) | Method for intercepting spam multimedia message on link of multimedia system | |
CN106453927A (en) | A number state automatic identification method and apparatus based on a PSTN network | |
CN102231874A (en) | Short message processing method, device and system | |
CN107371141B (en) | Junk information monitoring method and device and communication system | |
CN111541818A (en) | Fraud prevention method for screening, classifying and intercepting suspicious numbers based on big data | |
CN108696832A (en) | Call handling method, device and equipment, computer readable storage medium | |
CN108259688A (en) | VoIP platforms telephone fraud behavioral value method, apparatus and detecting system | |
CN111343638A (en) | Crank call processing method, server and terminal | |
KR20230106985A (en) | Apparatus and method for detecting illegal communication 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 |
Application publication date: 20210702 |
|
RJ01 | Rejection of invention patent application after publication |