Automated Detection of Steganographic Content

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA9550-05-C-0172
Agency Tracking Number: F045-008-0013
Amount: $749,952.00
Phase: Phase II
Program: STTR
Awards Year: 2006
Solicitation Year: 2004
Solicitation Topic Code: AF04-T008
Solicitation Number: N/A
Small Business Information
3272 Silver Pine Trail, Colorado Springs, CO, 80920
DUNS: 131860632
HUBZone Owned: N
Woman Owned: Y
Socially and Economically Disadvantaged: N
Principal Investigator
 Larry Scally
 Principal Engineer
 (719) 388-8582
Business Contact
 Nancy Badenhop
Title: Chief Operating Officer
Phone: (719) 388-8582
Research Institution
 Terry Boult
 1420 Austin Bluffs Parkway
Colorado Springs, CO, 80933
 (719) 963-0573
 Nonprofit college or university
Colorado Engineering, Inc., a small woman owned business, and the University of Colorado at Colorado Springs are teaming to extend a steganogrpahic architecture for an extensible, distributed application that can be utilized to detect steganographic content in media files, alert the user, and either mitigate (destroy) the content if possible or quarantine the files as appropriate. The initial architecture was prototyped and feasibility demonstrated as a Phase I STTR effort. The distinguishing characteristics of the architecture are the distribution of the steganographic detection tasks using a Service-Oriented Architecture (SOA) to facilitate inclusion of new and improved steganalysis algorithms, and the flexibility of the architecture for use in non-steganalysis domains. This proposal will extend the architecture to include additional capabilities, re-factor prototype architecture components to meet current industry best practices, develop robust user interfaces to make the steganogrpahic system commercially viable, and demonstrate the use of the architecture in a non-steganalysis domain. Proposed Phase I objectives included: user subscription process development, high-level and detailed design of architecture components, prototype application development, feasibility analysis, and Phase II plan development. The proposed architecture will support effective distributed steganalysis activities using easily-extended steganalysis algorithms.

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

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