USA flag logo/image

An Official Website of the United States Government

Subspace Techniques for Obfuscating Matrix-based Algorithms (STOMA)

Award Information

Agency:
Department of Defense 		Branch:
Army 		Award ID:
83223 		Program Year/Program:
2008 / STTR
Agency Tracking Number:
A074-002-0293 		Solicitation Year:
N/A 		Solicitation Topic Code:
N/A 		Solicitation Number:
N/A
Small Business Information
Scientific Systems Company, Inc.
500 West Cummings Park, Suite 3000 Woburn, MA 01801-6562
View profile »
Woman-Owned: No
Minority-Owned: Yes
HUBZone-Owned: No
 
Phase 2
Fiscal Year: 2008
Title: Subspace Techniques for Obfuscating Matrix-based Algorithms (STOMA)
Agency / Branch: DOD / ARMY
Contract: W31P4Q-08-C-0498
Award Amount: $750,000.00
 

Abstract:

Scientific Systems Co., Inc. (SSCI) and its academic partner, the University of Arizona, have devised a comprehensive and effective methodology for offering software anti-tamper protection via Algorithm Obfuscation. A primary goal going into Phase I was to apply our techniques in the Kalman Filter setting; this example was completed successfully. Thus, we now have a collection of obfuscation techniques that can be used to render an algorithm unrecognizable. In Phase II we will assemble these powerful obfuscation techniques and construct what we have called an "Obfuscating Compiler." Like a more conventional compiler, it will accept algorithms that have been expressed in a "High Level Language" and produce code in a more primitive form. This code is designed so as to make the underlying algorithm completely obscured while remaining functionally equivalent to the original. In Phase III, we will expand this prototype into a robust tool capable of widespread use. This will include, but may not be limited to combining matrix-level algorithm obfuscation with more traditional software obfuscation techniques. Note that we have developed a "meta-algorithm" that can be applied to large classes of matrix-based algorithms, and do not require detailed knowledge of the particular algorithm for which obfuscation is desired.

Principal Investigator:

Tony Falcone
Grp Lead: Image Exploitation
7819335355
afalcone@ssci.com

Business Contact:

Jay Miselis
Corporate Controller
7819335355
jmiselis@ssci.com
Small Business Information at Submission:

SCIENTIFIC SYSTEMS CO., INC.
500 West Cummings Park - Ste 3000 Woburn, MA 01801

EIN/Tax ID: 043053085
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Research Institution Information:
UNIV. OF ARIZONA
888 N. Euclid Ave., Rm 515
Tucson, AZ 85721
Contact: Mark Neifeld
Contact Phone: (520) 621-6102
RI Type: Nonprofit college or university