CN105100362A - Fraud call identification method, fraud prevention method and call terminal - Google Patents
Fraud call identification method, fraud prevention method and call terminal Download PDFInfo
- Publication number
- CN105100362A CN105100362A CN201410214488.8A CN201410214488A CN105100362A CN 105100362 A CN105100362 A CN 105100362A CN 201410214488 A CN201410214488 A CN 201410214488A CN 105100362 A CN105100362 A CN 105100362A
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- swindle
- call
- message
- word
- correspondent
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Classifications
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- 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
- H04W12/126—Anti-theft arrangements, e.g. protection against subscriber identity module [SIM] cloning
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- Engineering & Computer Science (AREA)
- Computer Security & Cryptography (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Telephonic Communication Services (AREA)
- Telephone Function (AREA)
Abstract
The invention discloses a fraud call identification method, a fraud prevention method and a call terminal. Voice information of at least one call part in a current call is identified as character information, whether the character information contains fraud keyword information is judged then, the current call is judged as a fraud call if the character information contains fraud keyword information, and a fraud alarm can be further given to remind a user. As can be seen, how to identify the fraud call is effectively achieved, alarm reminding is performed after the fraud call is identified, and a user who has a certain economic ability but has poor awareness can be prevented from being defrauded.
Description
Technical field
The present invention relates to the communications field, be specifically related to a kind of swindle call recognition methods, anti-swindle method, call terminal.
Background technology
In recent years, along with popularizing rapidly of mobile terminal, the criminal activity carrying out swindling of conversing is utilized to become increasingly conspicuous, especially when friend's layman address list is lost, ignorant of the fact, vigilant poor user (such as the elderly) is very easily cheated, and we wish aly can distinguish fraudulent call and the terminal of reminding user and care provider in a hurry.The enforcement how taking precautions against call fraudulent act becomes the problem that is needed badly solution.
Summary of the invention
The main technical problem to be solved in the present invention is, provides a kind of swindle call recognition methods, anti-swindle method, call terminal, to solve the problem how anti-call is swindled.
For solving the problems of the technologies described above, the invention provides a kind of swindle call recognition methods, comprising:
The voice messaging of correspondent at least one in current talking is identified as Word message;
Judge whether comprise swindle keyword message in described Word message, in this way, then judge that current talking is as swindle call.
In an embodiment of the present invention, the voice messaging of correspondent all in current talking is identified as Word message.
In an embodiment of the present invention, describedly judge whether to comprise in described Word message swindle keyword message and comprise:
Described Word message is carried out mating to judge whether comprise swindle keyword message in described Word message in word swindle information database.
In an embodiment of the present invention, before the voice messaging in current talking is identified as Word message, also comprise: whether the number judging described correspondent is default number; Or whether the number judging described correspondent is strangeness numbers.
In an embodiment of the present invention, described call is voice call or video calling.
Present invention also offers a kind of anti-swindle method, comprise swindle call recognition methods as above;
After judging that current talking is as swindle call, also comprise and carry out swindle alarm.
In an embodiment of the present invention, carry out swindle alarm described in comprise:
Show anti-swindle warning information and or play anti-swindle alarm voice;
And/or,
The number being undertaken conversing by current or the number being undertaken conversing by current and described swindle keyword message send to default contact person.
In order to solve the problem, present invention also offers a kind of call terminal, comprise sound identification module, word judge module;
Described sound identification module is used for the voice messaging of correspondent at least one in current talking to be identified as Word message;
Described word judge module, for judging whether comprise swindle keyword message in described Word message, in this way, then judges that current talking is as swindle call.
In an embodiment of the present invention, described word judge module comprises comparison sub-module, for being carried out mating to judge whether comprise swindle keyword message in described Word message by described Word message in word swindle information database.
In an embodiment of the present invention, described call terminal also comprises condition judgment module, before the voice messaging of correspondent at least one in current talking being identified as Word message at described sound identification module, whether the number judging described correspondent is preset number, or whether the number judging described correspondent is strangeness numbers.
In an embodiment of the present invention, described call terminal also comprises alarm module, during for judging current talking at described word judge module as swindle call, carries out swindle alarm.
In an embodiment of the present invention, described alarm module comprises the first warning submodule, for show anti-swindle warning information and or play anti-swindle alarm voice;
And/or,
Comprise the second warning submodule, send to default contact person for the number that undertaken conversing by current or the number being undertaken conversing by current and described swindle keyword message.
The invention has the beneficial effects as follows:
Swindle call recognition methods provided by the invention, anti-swindle method, call terminal, the voice messaging of correspondent at least one in current talking is identified as Word message, then judging whether comprise swindle keyword message in this Word message, as comprised, then judging that current talking is as swindle call; And swindle warning can be carried out further, with reminding user.Visible, the present invention effectively achieves how to identify swindle call, and carries out warning reminding after recognizing swindle call, can avoid certain economic capability but the user of prevention awareness difference is swindled.
Accompanying drawing explanation
The swindle call recognition methods schematic flow sheet that Fig. 1 provides for the embodiment of the present invention one;
The anti-swindle method flow schematic diagram that Fig. 2 provides for the embodiment of the present invention one;
The call terminal structural representation one that Fig. 3 provides for the embodiment of the present invention two;
The call terminal structural representation two that Fig. 4 provides for the embodiment of the present invention two;
The call terminal structural representation three that Fig. 5 provides for the embodiment of the present invention two;
The call terminal structural representation four that Fig. 6 provides for the embodiment of the present invention two.
Embodiment
By reference to the accompanying drawings the present invention is described in further detail below by embodiment.
Embodiment one:
Please refer to Fig. 1, the swindle call recognition methods that the present embodiment provides comprises the following steps:
Step 101: the voice messaging of correspondent at least one in current talking is identified as Word message;
Step 102: judge whether comprise swindle keyword message in this Word message, in this way, go to step 103; Otherwise, go to step 104;
Step 103: judge that current talking is as swindle call.
Step 104: judge that current talking is as normal talking, non-swindle call.
In the present embodiment, in order to prevent user from being swindled further, shown in Figure 2, after above-mentioned steps 103, also comprise step 105: carry out swindle and report to the police.
Visible, the method provided by the present embodiment can be realized the automatic identification swindling call and effectively report to the police after recognizing swindle call.Can user be avoided largely to be taken in, the property safety of protection user.
Call in the present embodiment can be voice call, also can be video calling.In addition, the correspondent conversed in the present embodiment can be two sides, also can the MPTY such as tripartite, four directions.In the present embodiment, when the voice messaging in call is identified, can arrange and voice messaging is carried out to a wherein correspondent be identified as Word message, such as, can arrange and only carry out speech recognition for local terminal, or only carry out speech recognition etc. for a side opposite end; Also can arrange to the multiple correspondent in call that to carry out speech recognition be Word message according to actual needs.In order to judge whether current talking is swindle call, and the voice messaging of correspondent all in current talking is preferably identified as Word message by the present embodiment more comprehensively, accurately.
In the present embodiment, when judging whether to comprise swindle keyword message in the Word message obtained by speech recognition, this Word message can be mated in word swindle information database, if any the word matched, then show to contain swindle keyword message in this Word message.Swindle information database in the present embodiment is for storing all kinds of swindle keyword, and it can comprise the webserver word swindle information database that local word swindle information database and/or can carry out upgrades.
In the present embodiment, above-mentioned speech recognition can be carried out to judge whether this call is swindle call to all calls.But in general, the overwhelming majority swindle call that user runs into is all the call that strangeness numbers is initiated, or the call that a certain class in user communication record is some or several number is initiated.Therefore, in the present embodiment, the call of the number for strangeness numbers or user preset can be selected to carry out speech recognition judgement.Now, before the voice messaging of correspondent at least one in current talking is identified as Word message by above-mentioned steps 101, also comprise:
Whether the number judging correspondent is default number; Or whether the number judging correspondent is strangeness numbers; In this way, just speech recognition is carried out to correspondent at least one in this call.
In the present embodiment, after voice messaging is identified as Word message, to identifying that the Word message obtained stores, when exceeding setting-up time threshold value the memory time of the Word message of Cun Chuing, the Word message of inactive portion can be deleted; Maybe when the Word message amount stored exceedes settings, delete a part of Word message according to the sequencing of memory time.Certainly, in the present embodiment, when carrying out the storage of Word message, only can store the Word message including swindle keyword, checking in order to follow-up.
In above-mentioned steps 105, carrying out swindling the mode of reporting to the police can be anyly can carry out the mode of effectively reminding to user, such as can show anti-swindle warning information (this information can be the information pre-setting the note of reminded contents, multimedia message or other types) and or play anti-swindle alarm voice;
And/or,
The number being undertaken conversing by the current or current number carrying out conversing and the swindle keyword message be checked through are sent to default contact person.The feelings parent number that this contact person can be arranged also can be the alarm number that user's additional dedicated is arranged.Such as old man, it can be the number of sons and daughters old man; For child, then can make the father and mother of child, teacher etc.Like this once recognize swindle call, effective in real time user can be reminded, preventing user to be taken in.
Embodiment two:
Present embodiments provide a kind of call terminal, this call terminal can be various smart mobile phone, IPAD etc., shown in Figure 3, and it comprises call module, sound identification module and word judge module, wherein:
Call module is for realizing call, and this call can be voice call, also can be video calling; The correspondent conversed in the present embodiment can be two sides, also can the MPTY such as tripartite, four directions;
Sound identification module is used for the voice messaging of correspondent at least one in current talking to be identified as Word message;
Word judge module, for judging whether comprise swindle keyword message in the Word message that obtains, in this way, then judges that current talking is as swindle call; Otherwise, judge that current talking is as normal talking.
Shown in Figure 4, the call terminal in the present embodiment also comprises alarm module, during for judging current talking at word judge module as swindle call, carries out swindle alarm; Carry out reminding in real time, effectively to user.
Sound identification module in the present embodiment can carry out voice messaging to the correspondent in call and be identified as Word message, such as, can arrange and only carry out speech recognition for local terminal, or only carry out speech recognition etc. for a side opposite end; Also can arrange to the multiple correspondent in call that to carry out speech recognition be Word message according to actual needs.In order to judge whether current talking is swindle call, and the voice messaging of correspondent all in current talking is preferably identified as Word message by the present embodiment more comprehensively, accurately.
Word judge module in the present embodiment comprises comparison sub-module, during for judging whether to comprise swindle keyword message in the Word message that obtained by speech recognition, Word message is carried out mating to judge whether comprise swindle keyword message in Word message in word swindle information database.Swindle information database in the present embodiment is for storing all kinds of swindle keyword, and it can comprise the webserver word swindle information database that local word swindle information database and/or can carry out upgrades.
In the present embodiment, above-mentioned speech recognition can be carried out to judge whether this call is swindle call to all calls of call terminal.But in general, the overwhelming majority swindle call that user runs into is all the call that strangeness numbers is initiated, or the call that a certain class in user communication record is some or several number is initiated.Therefore, in the present embodiment, the call of the number for strangeness numbers or user preset can be selected to carry out speech recognition judgement.Shown in Figure 5, in the present embodiment, call terminal also can comprise condition judgment module, before the voice messaging of correspondent at least one in current talking being identified as Word message at sound identification module, whether the number judging correspondent is preset number, or whether the number judging correspondent is strangeness numbers.
Shown in Figure 6, the call terminal in the present embodiment also can comprise memory module, for identifying that the Word message obtained stores, when exceeding setting-up time threshold value the memory time of the Word message of Cun Chuing, the Word message of inactive portion can be deleted; Maybe when the Word message amount stored exceedes settings, delete a part of Word message according to the sequencing of memory time.Certainly, in the present embodiment, when carrying out the storage of Word message, the Word message including swindle keyword can only be stored.
In the present embodiment, alarm module can be reported to the police to the mode that user carries out effectively reminding by any.It comprises the first warning submodule, for show anti-swindle warning information and or play anti-swindle alarm voice;
And/or,
Second warning submodule, sends to default contact person for the number that undertaken conversing by current or the number being undertaken conversing by current and described swindle keyword message.One or more feelings parent numbers that this contact person can be arranged also can be one or more alarm numbers that user's additional dedicated is arranged.Such as old man, it can be the number of sons and daughters old man; For child, then can make the father and mother of child, teacher etc.Like this once recognize swindle call, effective in real time user can be reminded, preventing user to be taken in.
Scheme provided by the invention can reduce certain economic capability, but the colony that fraud tactics recognition capability is not strong, the enforcement of fraudulent act can be effectively reduced.And it is low to realize cost, be suitable for old man's machine, children's machine etc. need the weak population of protection.
The all or part of step that one of ordinary skill in the art will appreciate that in said method is carried out instruction related hardware by program and is completed, and described program can be stored in computer-readable recording medium, as read-only memory, disk or CD etc.Alternatively, all or part of step of above-described embodiment also can use one or more integrated circuit to realize.Correspondingly, each module/unit in above-described embodiment can adopt the form of hardware to realize, and the form of software function module also can be adopted to realize.The present invention is not restricted to the combination of the hardware and software of any particular form.
Above content is in conjunction with concrete execution mode further description made for the present invention, can not assert that specific embodiment of the invention is confined to these explanations.For general technical staff of the technical field of the invention, without departing from the inventive concept of the premise, some simple deduction or replace can also be made, all should be considered as belonging to protection scope of the present invention.
Claims (12)
1. a swindle call recognition methods, is characterized in that comprising:
The voice messaging of correspondent at least one in current talking is identified as Word message;
Judge whether comprise swindle keyword message in described Word message, in this way, then judge that current talking is as swindle call.
2. swindle call recognition methods as claimed in claim 1, is characterized in that, the voice messaging of correspondent all in current talking is identified as Word message.
3. swindle call recognition methods as claimed in claim 1 or 2, is characterized in that, describedly judges that whether comprising swindle keyword message in described Word message comprises:
Described Word message is carried out mating to judge whether comprise swindle keyword message in described Word message in word swindle information database.
4. swindle call recognition methods as claimed in claim 1 or 2, is characterized in that, before the voice messaging in current talking is identified as Word message, also comprise: whether the number judging described correspondent is default number; Or whether the number judging described correspondent is strangeness numbers.
5. swindle call recognition methods as claimed in claim 1 or 2, it is characterized in that, described call is voice call or video calling.
6. an anti-swindle method, is characterized in that, comprises the swindle call recognition methods as described in any one of claim 1-5;
After judging that current talking is as swindle call, also comprise and carry out swindle alarm.
7. anti-swindle method as claimed in claim 6, is characterized in that, described in carry out swindle alarm and comprise:
Show anti-swindle warning information and or play anti-swindle alarm voice;
And/or,
The number being undertaken conversing by current or the number being undertaken conversing by current and described swindle keyword message send to default contact person.
8. a call terminal, is characterized in that, comprises sound identification module, word judge module;
Described sound identification module is used for the voice messaging of correspondent at least one in current talking to be identified as Word message;
Described word judge module, for judging whether comprise swindle keyword message in described Word message, in this way, then judges that current talking is as swindle call.
9. call terminal as claimed in claim 8, it is characterized in that, described word judge module comprises comparison sub-module, for being carried out mating to judge whether comprise swindle keyword message in described Word message by described Word message in word swindle information database.
10. call terminal as claimed in claim 8 or 9, it is characterized in that, described call terminal also comprises condition judgment module, before the voice messaging of correspondent at least one in current talking being identified as Word message at described sound identification module, whether the number judging described correspondent is preset number, or whether the number judging described correspondent is strangeness numbers.
11. call terminals as claimed in claim 8 or 9, it is characterized in that, described call terminal also comprises alarm module, during for judging current talking at described word judge module as swindle call, carries out swindle alarm.
12. call terminals as claimed in claim 11, it is characterized in that, described alarm module comprises the first warning submodule, for show anti-swindle warning information and or play anti-swindle alarm voice;
And/or,
Comprise the second warning submodule, send to default contact person for the number that undertaken conversing by current or the number being undertaken conversing by current and described swindle keyword message.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410214488.8A CN105100362A (en) | 2014-05-20 | 2014-05-20 | Fraud call identification method, fraud prevention method and call terminal |
| PCT/CN2014/087473 WO2015176453A1 (en) | 2014-05-20 | 2014-09-25 | Fraud call recognition method, fraud prevention method, and call terminal |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410214488.8A CN105100362A (en) | 2014-05-20 | 2014-05-20 | Fraud call identification method, fraud prevention method and call terminal |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN105100362A true CN105100362A (en) | 2015-11-25 |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410214488.8A Withdrawn CN105100362A (en) | 2014-05-20 | 2014-05-20 | Fraud call identification method, fraud prevention method and call terminal |
Country Status (2)
| Country | Link |
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| CN (1) | CN105100362A (en) |
| WO (1) | WO2015176453A1 (en) |
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| CN105357673A (en) * | 2015-11-27 | 2016-02-24 | 上海斐讯数据通信技术有限公司 | Mobile terminal and method of preventing fraud for mobile terminal |
| CN106559542A (en) * | 2016-11-30 | 2017-04-05 | 努比亚技术有限公司 | A kind of terminal and harassing and wrecking hold-up interception method |
| CN106657535A (en) * | 2016-09-28 | 2017-05-10 | 北京奇虎科技有限公司 | Incoming and outgoing call processing method and device |
| CN107147813A (en) * | 2017-05-25 | 2017-09-08 | 广东工业大学 | The prevention method and device of a kind of telecommunication fraud |
| CN107360313A (en) * | 2017-06-29 | 2017-11-17 | 胡玥莹 | For identifying anti-the swindle communication system and method for Stranger Calls |
| CN107948451A (en) * | 2017-11-24 | 2018-04-20 | 广州汇智通信技术有限公司 | A kind of anti-telecommunication fraud method, apparatus, equipment and storage medium |
| CN109993044A (en) * | 2017-12-29 | 2019-07-09 | 杭州海康威视***技术有限公司 | Telecommunication fraud identifying system, method, apparatus, electronic equipment and storage medium |
| CN110062097A (en) * | 2019-05-08 | 2019-07-26 | 深圳市锐尔觅移动通信有限公司 | Harassing call processing method, device, mobile terminal and storage medium |
| CN110381219A (en) * | 2019-06-18 | 2019-10-25 | 武汉华夏理工学院 | A kind of anti-swindle system of communication |
| CN110868501A (en) * | 2019-11-13 | 2020-03-06 | 刘峰刚 | Fraud prevention method based on voice recognition and fraud prevention hearing aid |
| CN110913395A (en) * | 2019-11-19 | 2020-03-24 | 孙亦劼 | Telecommunication fraud prevention system for mobile phone |
| CN111435981A (en) * | 2019-01-11 | 2020-07-21 | 华为技术有限公司 | Call processing method and device |
| CN112565525A (en) * | 2019-09-26 | 2021-03-26 | 中国电信股份有限公司 | Anti-fraud early warning method and device |
| CN113068191A (en) * | 2021-03-12 | 2021-07-02 | 深圳市安络科技有限公司 | Anti-fraud information pushing method, device and equipment |
| CN114091476A (en) * | 2021-11-18 | 2022-02-25 | 北京淘友天下科技发展有限公司 | Dialog recognition method and device, electronic equipment and computer readable storage medium |
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| CN105357673A (en) * | 2015-11-27 | 2016-02-24 | 上海斐讯数据通信技术有限公司 | Mobile terminal and method of preventing fraud for mobile terminal |
| CN106657535B (en) * | 2016-09-28 | 2020-03-24 | 北京奇虎科技有限公司 | Incoming call and outgoing call processing method and device |
| CN106657535A (en) * | 2016-09-28 | 2017-05-10 | 北京奇虎科技有限公司 | Incoming and outgoing call processing method and device |
| CN106559542A (en) * | 2016-11-30 | 2017-04-05 | 努比亚技术有限公司 | A kind of terminal and harassing and wrecking hold-up interception method |
| CN107147813A (en) * | 2017-05-25 | 2017-09-08 | 广东工业大学 | The prevention method and device of a kind of telecommunication fraud |
| CN107360313A (en) * | 2017-06-29 | 2017-11-17 | 胡玥莹 | For identifying anti-the swindle communication system and method for Stranger Calls |
| CN107948451A (en) * | 2017-11-24 | 2018-04-20 | 广州汇智通信技术有限公司 | A kind of anti-telecommunication fraud method, apparatus, equipment and storage medium |
| CN109993044A (en) * | 2017-12-29 | 2019-07-09 | 杭州海康威视***技术有限公司 | Telecommunication fraud identifying system, method, apparatus, electronic equipment and storage medium |
| CN109993044B (en) * | 2017-12-29 | 2021-02-23 | 杭州海康威视***技术有限公司 | Telecommunications fraud identification system, method, apparatus, electronic device, and storage medium |
| CN111435981A (en) * | 2019-01-11 | 2020-07-21 | 华为技术有限公司 | Call processing method and device |
| CN111435981B (en) * | 2019-01-11 | 2021-06-08 | 华为技术有限公司 | Call processing method and device |
| CN110062097A (en) * | 2019-05-08 | 2019-07-26 | 深圳市锐尔觅移动通信有限公司 | Harassing call processing method, device, mobile terminal and storage medium |
| CN110381219A (en) * | 2019-06-18 | 2019-10-25 | 武汉华夏理工学院 | A kind of anti-swindle system of communication |
| CN112565525A (en) * | 2019-09-26 | 2021-03-26 | 中国电信股份有限公司 | Anti-fraud early warning method and device |
| CN110868501A (en) * | 2019-11-13 | 2020-03-06 | 刘峰刚 | Fraud prevention method based on voice recognition and fraud prevention hearing aid |
| CN110913395A (en) * | 2019-11-19 | 2020-03-24 | 孙亦劼 | Telecommunication fraud prevention system for mobile phone |
| CN113068191A (en) * | 2021-03-12 | 2021-07-02 | 深圳市安络科技有限公司 | Anti-fraud information pushing method, device and equipment |
| CN114091476A (en) * | 2021-11-18 | 2022-02-25 | 北京淘友天下科技发展有限公司 | Dialog recognition method and device, electronic equipment and computer readable storage medium |
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|---|---|
| WO2015176453A1 (en) | 2015-11-26 |
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