METHOD AND APPARATUS FOR ILLEGAL USER IDENTIFICATION BASED ON BIG DATA ANALYSIS, AND ELECTRONIC DEVICE

摘要

A method and an apparatus for illegal user identification based on big data analysis, an electronic device, and a computer readable storage medium, relating to the technical field of big data. The method comprises: a set of users to be identified and valid feature data of a set of legal users are acquired (S310); the valid feature data of the set of legal users is clustered, and the number of clusters is determined (S330); the set of users to be identified and the valid feature data of the set of legal users are clustered according to said number of clusters to obtain a plurality of clusters (S350); abnormal clusters are filtered out from the plurality of clusters, the abnormal clusters being clusters among the plurality of clusters in which the number of legal users is less than a preset threshold, and users from the set of users to be identified that were clustered into abnormal clusters are confirmed to be illegal users (S370). Using clustering, falsely registered users can be batch-identified, improving identification efficiency, and because behavioral characteristic matching is no longer used to identify falsely registered users, identification accuracy is improved.