Invention Grant
- Patent Title: Cognitive offense analysis using contextual data and knowledge graphs
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Application No.: US15236575Application Date: 2016-08-15
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Publication No.: US10542015B2Publication Date: 2020-01-21
- Inventor: William Alexander Bird , Suzanne Carol Deffeyes , Jiyong Jang , Dhilung Kirat , Youngja Park , Josyula R. Rao , Marc Philippe Stoecklin
- 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
- Agent Jeffrey S. LaBaw; David H. Judson
- Main IPC: H04L29/06
- IPC: H04L29/06

Abstract:
An automated method for processing security events in association with a cybersecurity knowledge graph. The method begins upon receipt of information from a security system representing an offense. An initial offense context graph is built based in part on context data about the offense. The graph also activity nodes connected to a root node; at least one activity node includes an observable. The root node and its one or more activity nodes represent a context for the offense. The knowledge graph, and potentially other data sources, are then explored to further refine the initial graph to generate a refined graph that is then provided to an analyst for further review and analysis. Knowledge graph exploration involves locating the observables and their connections in the knowledge graph, determining that they are associated with known malicious entities, and then building subgraphs that are then merged into the initial graph.
Public/Granted literature
- US20180048661A1 Cognitive offense analysis using contextual data and knowledge graphs Public/Granted day:2018-02-15
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