Graph Matching Intrusion Detection for the Insider Threat

Award Information
Agency:
Department of Defense
Branch
Army
Amount:
$119,805.00
Award Year:
2003
Program:
SBIR
Phase:
Phase I
Contract:
DAAD17-03-C-006
Agency Tracking Number:
A022-2379
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
21ST CENTURY TECHNOLOGIES, INC.
11675 Jollyville Road, Suite 300, Austin, TX, 78759
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
Sherry Marcus
CEO
(512) 342-0010
sem@21technologies.com
Business Contact:
Darrin Taylor
COO
(512) 342-0010
dtaylor@21technologies.com
Research Institution:
n/a
Abstract
We propose the Graph Matching Intrusion Detection (GMID) system, a novel approach to detecting insider and coordinated insider-outsider threats based on our algorithms for solving the subgraph isomorphism (graph matching) problem. GMID performs datafusion 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. Threat patterns are represented as graphs, and our graph matching algorithmsquickly identify suspicious activity within the sensed network state. The GMID approach provides new capabilities for

* information listed above is at the time of submission.

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