Fraud call identification method, fraud prevention method and call terminal

A technology of call identification and call terminal, applied in the field of communication

Inactive Publication Date: 2015-11-25
ZTE CORP
View PDF6 Cites 19 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The main technical problem to be solved by the present invention is to provide a fraudulent call identification method, an anti-fraud method, and a call terminal to solve the problem of how to prevent call fraud

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Fraud call identification method, fraud prevention method and call terminal
  • Fraud call identification method, fraud prevention method and call terminal
  • Fraud call identification method, fraud prevention method and call terminal

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0037] Please refer to figure 1 , the fraudulent call identification method provided in this embodiment includes the following steps:

[0038] Step 101: Recognize the voice information of at least one caller in the current call as text information;

[0039] Step 102: Determine whether the text message contains fraudulent keyword information, if so, go to step 103; otherwise, go to step 104;

[0040] Step 103: Determine that the current call is a fraudulent call.

[0041] Step 104: Determine that the current call is a normal call and not a fraudulent call.

[0042] In this embodiment, in order to further prevent users from being defrauded, please refer to figure 2 As shown, after the above step 103, a step 105 is also included: making a fraud alarm.

[0043] It can be seen that the method provided by this embodiment can realize automatic identification of fraudulent calls and give an effective alarm after identifying fraudulent calls. It can prevent users from being foole...

Embodiment 2

[0053] This embodiment provides a call terminal, which can be various smart phones, IPAD, etc., please refer to image 3 As shown, it includes a call module, a speech recognition module and a text judgment module, wherein:

[0054]The call module is used to realize a call, and the call can be a voice call or a video call; in this embodiment, the caller of the call can be two parties, or three parties, four parties, etc.;

[0055] The voice recognition module is used to recognize the voice information of at least one caller in the current call as text information;

[0056] The text judging module is used for judging whether the obtained text information contains fraudulent keyword information, if so, it is judged that the current call is a fraudulent call; otherwise, it is judged that the current call is a normal call.

[0057] See Figure 4 As shown, the call terminal in this embodiment also includes an alarm module, which is used to issue a fraud alarm when the text judgmen...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

Disclosed are a fraud call recognition method, a fraud prevention method, and a call terminal. Voice information of at least one call party in a current call is recognized as text information; it is determined whether the text information comprises fraud keyword information; and if yes, the current call is determined as a fraud call, and a fraud alarm can be further made to remind a user. Hence, the present invention effectively realizes fraud call recognition and alarming after a fraud call is recognized, and can prevent users having certain economic capability but poor fraud awareness from becoming victims of frauds.

Description

technical field [0001] The invention relates to the communication field, in particular to a fraud call identification method, a fraud prevention method, and a call terminal. Background technique [0002] In recent years, with the rapid popularization of mobile terminals, the criminal activities of fraudulent use of phone calls have become increasingly prominent, especially in the case of loss of family and friends' contacts, users who don't know the truth and are less vigilant (such as the elderly) are very easy to be deceived , we eagerly hope to have a terminal that can identify fraudulent calls and alert users and guardians. How to prevent the implementation of call fraud has become an urgent problem to be solved. Contents of the invention [0003] The main technical problem to be solved by the present invention is to provide a fraudulent call identification method, a fraud prevention method, and a call terminal to solve the problem of how to prevent call fraud. [00...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): H04M1/66H04M1/2745G06F17/30G10L15/08
CPCH04W12/126
Inventor 刘蓉蓉
Owner ZTE CORP
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap