Novel Detection Mechanisms for Advanced Persistent Threat

Award Information
Agency: Department of Defense
Branch: Army
Contract: W911QX-13-C-0108
Agency Tracking Number: O123-IA4-2166
Amount: $149,040.00
Phase: Phase I
Program: SBIR
Awards Year: 2013
Solicitation Year: 2012
Solicitation Topic Code: OSD12-IA4
Solicitation Number: 2012.3
Small Business Information
2051 Lama Mountain, Box 289, Questa, NM, -
DUNS: 150907996
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Rick Dove
 (575) 586-1536
Business Contact
 Rick Dove
Title: CEO/CTO
Phone: (575) 586-1536
Research Institution
This project employs a massively parallel, low cost, low power, associative-memory pattern detection processor soon-to-market by a major semiconductor producer. Phase 1 will use a microprocessor emulator to develop, test, and analyze"very large scale anomaly detectors"(developed under a prior SBIR project) organized in a 3-level hierarchical sense-making architecture of spatial, temporal, and correlative pattern detectors for employment at network endpoints. A fourth level in the sense-making hierarchy will be deferred until Phase 2, and provide cross-endpoint network-wide correlative pattern detection. The Phase 1 project has three principle objectives: 1) to establish performance and values of the very large scale anomaly detectors for detecting zero-day and advanced persistent threat attacks, and 2) to develop a semi-supervised learning process that converges on a sparse but sufficiently optimal pattern dictionary for each of the three levels in the hierarchy. and 3) to demonstrate capability to discover previously unseen attacks with high true positives and low false positives.

* Information listed above is at the time of submission. *

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