Invention Grant
- Patent Title: Identifying risky user behaviors in computer networks
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Application No.: US15694030Application Date: 2017-09-01
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Publication No.: US10601850B2Publication Date: 2020-03-24
- Inventor: Renxin Mao , Chao Sun , Xinkai Li , Dijun He
- Applicant: Alibaba Group Holding Limited
- Applicant Address: KY George Town, Grand Cayman
- Assignee: Alibaba Group Holding Limited
- Current Assignee: Alibaba Group Holding Limited
- Current Assignee Address: KY George Town, Grand Cayman
- Agency: Fish & Richardson P.C.
- Priority: CN201510093725 20150302
- Main IPC: H04L29/06
- IPC: H04L29/06 ; H04W12/12 ; G06F21/55 ; G06F21/57

Abstract:
A method of identifying risky user behaviors in computer networks includes determining behavior data of a user. The behavior data describes user activities of the user using a computer network. A particular event chain is identified from the behavior data. The particular event chain includes one or more events of the user activities. A risk coefficient of the particular event chain is determined. Based on the risk coefficient, whether the particular event chain represents a risky user behavior is determined.
Public/Granted literature
- US20180013780A1 IDENTIFYING RISKY USER BEHAVIORS IN COMPUTER NETWORKS Public/Granted day:2018-01-11
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