Automated Detection of Steganographic Content

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$99,882.00
Award Year:
2004
Program:
STTR
Phase:
Phase I
Contract:
FA9550-04-C-0125
Award Id:
67916
Agency Tracking Number:
F045-008-0013
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
3272 Silver Pine Trail, Colorado Springs, CO, 80920
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
131860632
Principal Investigator:
TimChamillard
Professor
(719) 262-3150
chamillard@cs.uccs.edu
Business Contact:
NancyBadenhop
Chief Operating Officer
(719) 388-8582
nbadenhop@adelphia.net
Research Institute:
University of Colorado
Chamillard
1420 Austin Bluffs Pkwy.
Colorado Springs, CO, 80933
(719) 262-3150
Nonprofit college or university
Abstract
Colorado Engineering, Inc., a small woman owned business, and the University of Colorado at Colorado Springs are teaming to develop a Stegi@work 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 key distinguishing characteristics of the architecture will be distribution of the steganographic detection tasks to a set of subscribed PCs on a network (including the Internet or a Local Area Network) and the use of a Service-Oriented Architecture (SOA) to facilitate inclusion of new and improved steganalysis algorithms. This proposal will demonstrate and evaluate the feasibility of the proposed architecture through development of a prototype implementation of the architecture. Feasibility analysis will focus on the effectiveness of the proposed architecture, the ease with which new and improved algorithms can be included in the steganalysis activities, and support for the required user configuration options. Proposed Phase I objectives include: 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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