Mobile social network user identity falseness identification method based on behavioral modeling

Abstract

The invention provides a mobile social network user identity falseness identification method based on behavioral modeling to judge user legitimacy by judging consistence of user behaviors. The mobilesocial network user identity falseness identification method based on behavioral modeling benefits from rich information data provided by the current mobile social network, and mass user social data including position, moving mode, social relationship, user-generated content, shopping records and the like is acquired. Multivariate data is taken as a study object, and features of the information are extracted. The user behaviors are modeled in the three following dimensions with mixed kernel density estimation, LDA text modeling and other methods: (1) geographical location, (2) user-generated text and (3) social relationship, blocking rate, interrupt rate and precision ratio of detection are calculated by simulating a user identity theft test, system performance is evaluated on the basis, problems of the traditional identification system are solved, and a new idea and a new analytical method are provided for solving security problems in the information age.

Description

technical field [0001] The invention relates to a method for identifying a counterfeit identity of a mobile social network user. Background technique [0002] With the popularization of Internet applications, information security issues are becoming more and more prominent. Attackers will try to steal user accounts, steal personal privacy information, and even maliciously attack servers. In order to protect user security, traditional identification methods are extremely vulnerable to being stolen under the increasing network attacks, so the simple system of user name and password can no longer meet the actual needs. [0003] Today, as Internet intelligence has become a development trend, users' identity-sensitive information will be widely collected and used. How to protect users' information security has become an urgent problem to be solved. In contrast, using the user's habitual behavior characteristics as the basis for identification has the advantages of uniqueness, no...

AI Technical Summary

Problems solved by technology

In order to protect user security, traditional identification methods are easily stolen under the increasing network attacks, so the simple system of user name and password can no longer meet the actual needs

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