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1. (WO2018177247) METHOD OF DETECTING ABNORMAL BEHAVIOR OF USER OF COMPUTER NETWORK SYSTEM

Pub. No.:    WO/2018/177247    International Application No.:    PCT/CN2018/080488
Publication Date: Fri Oct 05 01:59:59 CEST 2018 International Filing Date: Tue Mar 27 01:59:59 CEST 2018
IPC: G06F 11/34
Applicants: HAN SI AN XIN (BEIJING) SOFTWARE TECHNOLOGY CO., LTD
瀚思安信(北京)软件技术有限公司
Inventors: WAN, Xiaochuan
万晓川
GAO, Hanzhao
高瀚昭
WU, Rui
吴睿
Title: METHOD OF DETECTING ABNORMAL BEHAVIOR OF USER OF COMPUTER NETWORK SYSTEM
Abstract:
Provided in the present invention is a method of detecting an abnormal behavior of a user of a computer network system, the method comprising: selecting at least two data sources in the computer network system; extracting data of user behaviors respectively from the corresponding data sources using a configured tensor data structure, and aggregating the extracted data; and detecting abnormality of user behaviors on the basis of the aggregated tensor data. The method of the present invention can efficiently integrate a large volume of irrelevant security data and identify an abnormal behavior automatically.