SBIR/STTR Research Award

Graph Matching Intrusion Detection for the Insider Threat

Award identifier 1ef00782e3be28b2b01a2072187f5e7bc4f902d4c6dce50f1ee9618462fc03e3Awarding agency Department of Defense · Army

Award amount

$119,805

Program and phase

SBIR · Phase I

Award year

2003

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Award details

Awarding agency
Department of Defense
Branch
Army
Recipient company
DEUMBRA, INC.
Proposal award date
Not reported
Contract end date
Not reported
UEI
JCHTKKH5D6D1
Solicitation number
Not reported
Topic code
Not reported

Research 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

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Research funding history

107 SBIR/STTR records share this UEI (1996–2025). Reported award amounts total $33,067,356. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense, Department of Homeland Security, National Aeronautics and Space Administration

Agency intelligence

Department of Defense

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