Telcom phone phishing-resistant method and system based on discrimination and identification content analysis

Abstract

The invention relates to a telcom phone phishing-resistant method and a telcom phone phishing-resistant system based on discrimination and identification content analysis. By improving the efficiency and the accuracy rate of the voice and semanteme identification during calling, and using a Chinese semanteme determining technology, the cold call transmitter is determined whether or not to be a phishing call. The method specifically comprises the following steps of: analyzing the voice by large vocabulary provided by the invention and the large vocabulary continuous speech recognition (LVCSR) of nonspecific person during calling between two parts, determining the analyzed key words or key numbers, constructing a strategy engine by an algorithm, analyzing and classifying the semanteme of a calling party at a cloud service side by the algorithm, analyzing key information in the voice, synchronously matching the information of the bank to which the calling person belongs, and determining whether or not the call is the phishing call. Generally speaking, according to the method, the happening of the phone phishing can be effectively avoided particularly, the user safety can be protected through the discrimination and identification identifying and determining mode and the cloud platform information mining and matching mode, and the voice identification and the suspicious call relevance ratio can meet the normal use as well.

Description

technical field [0001] The invention relates to a method and system for preventing telecommunications and telephone fraud based on speech semantic content analysis, in particular to a method and system for identifying and judging fraudulent or bad content based on telephone speech semantic content. Background technique [0002] The SPHINX system produced by Carnegie Mellon University in the United States in the 1980s took the lead in realizing the recognition technology of non-specific people, continuous speech, and large vocabulary in speech recognition. Subsequently, the Tangora5000 of IBM Corporation in the United States was able to achieve a recognition rate of 97% of word selection in its recognition system. At the same time, its company's Via Voice and Microsoft's Speech SDK and other products have realized Chinese speech recognition, and at the same time provide Chinese speech The identified development package. At the same time, in Germany, France and other European...

AI Technical Summary

Problems solved by technology

[0005] In the field of anti-telecom fraud, only a few companies have similar patents. These patents simply use switch signaling messages or trace the source of telephone and text messages to prevent telecom fraud, and do not use voice semantics to analyze call content. Judging whether there are a large number of calls from the source of the call, it cannot automatically perform preventive detection during the call, and cannot accurately detect fraudulent calls that have not been added to the blacklist, which is prone to misjudgment

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