Invention Grant
- Patent Title: Adaptive behavior profiling and anomaly scoring through continuous learning
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Application No.: US14938415Application Date: 2015-11-11
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Publication No.: US09807105B2Publication Date: 2017-10-31
- Inventor: Pau-Chen Cheng , Lawrence Koved , Kapil K. Singh
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Yee & Associates, P.C.
- Agent Jeffrey S. LaBaw
- Main IPC: G06F21/00
- IPC: G06F21/00 ; H04L29/06 ; H04L29/08

Abstract:
Generating a behavior profile is provided. A newness score is calculated for a data point corresponding to a context of an access request to a resource made by a user of a client device. Newness scores for a plurality of data points corresponding to contexts of a plurality of access requests are aggregated to form an aggregated newness score. In response to determining that the aggregated newness score is greater than or equal to a pre-defined newness score threshold, data points stored in a data point cache and a long-term storage are used to generate a new behavior profile for the user or update an existing behavior profile for the user.
Public/Granted literature
- US20170134412A1 ADAPTIVE BEHAVIOR PROFILING AND ANOMALY SCORING THROUGH CONTINUOUS LEARNING Public/Granted day:2017-05-11
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