A mobile malicious user identification method and system based on communication behavior rules

Abstract

The present invention relates to a method and system for identifying mobile malicious users based on communication behavior rules. Sampling data, using the behavior pattern analysis in the mobile communication behavior analysis model to extract the user's call behavior characteristics, short message behavior characteristics and time distribution characteristics; based on the preprocessed mobile communication sampling data, using the communication network analysis in the mobile communication behavior analysis model Extract the user's social attribute features; based on the extracted user behavior pattern features and the extracted user social attribute features, build a mobile malicious user identification model; the present invention can analyze the user's behavior rules based on the desensitized data, and identify whether the user is a mobile malicious user The user has good timeliness and can identify mobile malicious users with high accuracy without involving the user's personal privacy.

Description

technical field [0001] The invention relates to a mobile malicious user identification method and system based on communication behavior rules, and belongs to the technical field of network space security. Background technique [0002] At present, for different purposes and interests, more and more illegal organizations or individuals use mobile communication devices to carry out malicious acts on the mobile Internet, such as telecommunication fraud and spam messages. Personal life and property safety of mobile communication users and the stable development of society pose a great threat. The 2017 China Mobile Security Status Report released by 360 Internet Security Center shows that in 2017, 360 Mobile Guard intercepted 38.09 billion harassing phone numbers and 9.85 billion spam text messages for users across the country, timely and effectively identifying them. Mobile malicious users engaged in malicious behaviors such as telecommunication fraud have important research si...

AI Technical Summary

Problems solved by technology

[0008] The technology of the present invention solves the problem: In view of the hysteresis of the existing mobile malicious user identification solutions and the problem that the traditional social network abnormal user identification method cannot be directly used, a mobile malicious user identification method and system based on communication behavior rules are provided, which can be based on The desensitized data analyzes the user's behavior rules to identify whether the user is a mobile malicious user, which has good timeliness and can identify mobile malicious users with high accuracy without involving the user's personal privacy.

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