Graph Matching and Metrics Intrusion Detection System (GMIDS)

Award Information
Agency: Department of Defense
Branch: Army
Contract: W911QX-04-C-0014
Agency Tracking Number: A022-2379
Amount: $729,960.00
Phase: Phase II
Program: SBIR
Awards Year: 2003
Solitcitation Year: N/A
Solitcitation Topic Code: N/A
Solitcitation Number: N/A
Small Business Information
11675 Jollyville Road, Suite 300, Austin, TX, 78759
Duns: 838828960
Hubzone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Thayne Coffman
 Principal Scientist
 (512) 342-0010
Business Contact
 Darrin Taylor
Title: Vice President
Phone: (512) 342-0010
Research Institution
The Graph Matching and Metrics Intrusion Detection System (GMIDS) is a novel approach to detecting insider and coordinated insider-outsider threats. GMIDS is based on our proven algorithms for graph-based pattern matching, social network analysis, linkanalysis, and statistical pattern recognition. GMIDS performs data fusion on information from dense sensor networks inside and outside the secured system to build a graph representation of network topology, user activity, and network state. Threatpatterns are represented as graphs, and our subgraph isomorphism (graph matching) and social network analysis capabilities quickly identify suspicious activity within the sensed network state. GMIDS provides new capabilities for

* information listed above is at the time of submission.

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