Invention Grant
- Patent Title: Cognitive analysis of security data with signal flow-based graph exploration
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Application No.: US15236595Application Date: 2016-08-15
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Publication No.: US10536472B2Publication Date: 2020-01-14
- Inventor: Jiyong Jang , Dhilung Hang Kirat , Youngja Park , 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:
This disclosure provides for a signal flow analysis-based exploration of security knowledge represented in a graph structure comprising nodes and edges. “Conductance” values are associated to each of a set of edges. Each node has an associated “toxicity” value representing a degree of maliciousness associated with the node. The conductance value associated with an edge is a function of at least the toxicity values of the nodes to which the edge is incident. A signal flow analysis is conducted with respect to an input node representing an observable associated with an offense. The flow analysis seeks to identify a subset of the nodes that, based on their conductance values, are reached by flow of a signal representing a threat, wherein signal flow over a path in the graph continues until a signal threshold is met. Based on the analysis, nodes within the subset are designated as hypothesis nodes for further examination.
Public/Granted literature
- US20180046928A1 Cognitive analysis of security data with signal flow-based graph exploration Public/Granted day:2018-02-15
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