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Autonomic Knowledge Representation Construction for Software Protection Systems

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8650-10-M-1774
Agency Tracking Number: O092-IA4-1044
Amount: $99,684.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: OSD09-IA4
Solicitation Number: 2009.2
Timeline
Solicitation Year: 2009
Award Year: 2009
Award Start Date (Proposal Award Date): 2009-11-06
Award End Date (Contract End Date): 2010-08-06
Small Business Information
1236 E. Grant Rd
Tucson, AZ 85719
United States
DUNS: 009731002
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Tejaswini Chadaga
 Development Director
 (248) 312-9550
 tejaswini@avirtek.com
Business Contact
 Firas Barakat
Title: Business Development Manager
Phone: (520) 829-6981
Email: firas@avirtek.com
Research Institution
N/A
Abstract

The increased complexity, scale and capabilities of current software elements make current security tools and technologies incapable to protect software against attacks. It also makes it very hard to proactively detect their vulnerabilities that might be exploited by attackers. Our focus will be to investigate and study the construction of a near human knowledge representation of the state of a system that is running an application of interest, in order to protect that application from reverse engineering and tampering attacks. The underlying assumption here is that through continuously monitoring a correct and sufficient set of applications, system resources, and communications metrics, the AKRCSPS will be able to determine any hostile behavior. Once the hostile behavior is detected and characterized, the AKRCSPS will plan what reaction is to be taken to perform protection and countermeasure actions. Furthermore, through the use of autonomous agents, we can destroy the ability of the attacker in launching attacks against our system. The capabilities that will be developed in Phase I of this project will be critical to construct the autonomic representation knowledge about the software’s state and defend against software attacks to achieve superiority for current and future software protection system.

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

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