A mobile social network user identity counterfeiting method based on behavior modeling

Abstract

The invention studies a method for identifying counterfeit mobile social network user identities based on behavior modeling. In this way, the consistency of user behavior is judged, so as to judge the legitimacy of the user. Behavioral modeling-based mobile social network user identification method, thanks to the rich information and data provided by the current mobile social network, we have obtained a large amount of user social data, including location, mobile mode, social relationship, user-generated content and shopping records Wait. Taking multivariate data as the research object, the characteristics of these information are extracted. Using methods such as hybrid kernel density estimation and LDA text modeling to realize the modeling of user behavior in the following three dimensions: (1) geographic location (2) user-generated text (3) social relationship, calculated by simulating user identity theft experiments The interception rate, disturbance rate and precision rate of the detection can be used to evaluate the system performance, solve the disadvantages of the traditional identification system, and provide new ideas and analysis methods 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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