Active Software Defense to Reduce Threat Capability Effectiveness

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8650-12-M-1406
Agency Tracking Number: O113-IA6-1066
Amount: $149,992.00
Phase: Phase I
Program: SBIR
Awards Year: 2012
Solicitation Year: 2011
Solicitation Topic Code: OSD11-IA6
Solicitation Number: 2011.3
Small Business Information
6011 West Courtyard Drive, Bldg 5, Suite 300, Austin, TX, -
DUNS: 158034665
HUBZone Owned: N
Woman Owned: Y
Socially and Economically Disadvantaged: Y
Principal Investigator
 Jonathan Mugan
 Principal Investigator
 (512) 682-4730
Business Contact
 Irene Williams
Title: CEO
Phone: (512) 682-4700
Research Institution
The protection of cyber assets is a critical need for the U.S. military. The theft of sensitive software and data threatens our technological and information superiority, putting lives and valuable assets at unnecessary risk. Attacks occur too quickly for human intervention and current automated defenses are designed to thwart only known means of attack. Active software defenses are required that can recognize a broad spectrum of threats and respond intelligently. To address this need, 21st Century Technologies proposes Cyber Security using Qualitative Learner of Action and Perception (Cy-QLAP), a software system that develops an understanding of the protected cyber assets using machine learning methods inspired by early mental development in humans. Past automated cyber defense systems have been plagued by availability issues, where disruptions to normal activity cannot be tolerated because system administrators are unable to analyze and correct the system"s behavior. Cy-QLAP solves this problem by learning human-understandable models that enable meaningful user interaction and feedback, allowing the benefits of quick action while maintaining the confidence of system administrators that availability problems can be managed. Our solution has the potential to significantly reduce the overall cost of protecting computer networks, and minimize the number of successful attacks on networks.

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

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