SBIR/STTR Research Award
Graph Matching and Metrics Intrusion Detection System (GMIDS)
Award amount
$729,960Program and phase
SBIR · Phase IIAward year
2003Award 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
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
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.
- Cognitive Satellite Sensor Controller (CS2C)
- Cognitive Satellite Sensor Controller (CS2C)
- SATPAM - Self Awareness Through Predictive Abstraction Modeling
- CLAD: Classification Labeling of Aggregated Data
- Active Software Defense to Reduce Threat Capability Effectiveness
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