METHOD FOR MEASURING USER BEHAVIOR CONSISTENCY BASED ON COMPLEX CORRESPONDENCE SYSTEM

摘要

A method for measuring user behavior consistency based on a complex correspondence system applies to the field of Internet payment platform security. The entire solution is divided into three stages: in the first stage, complex correlation features are analyzed according to an existing user behavior model; in the second stage, on the basis of user behavior features, a behavior profile is established and a user behavior relationship matrix is constructed; and in the third stage, on the basis of the complex correspondence features of a user, decomposition of the user behavior matrix is completed, user behavior consistency is calculated, and the degree of consistency between user behaviors and expected behaviors is measured. Intra-user behavioral relationships are carefully analyzed, the profile of the user behavior relationships is established, and complex correlations are distinguished and classified, thus a user behavior consistency measurement and analysis framework based on complex correlations is provided. As complex correlations are effectively distinguished and calculated, the problem of behavior consistency measurement in a complex correspondence model pair is solved, and operation time is greatly shortened.