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Proceedings Paper

StegoWall: blind statistical detection of hidden data
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Paper Abstract

Novel functional possibilities, provided by recent data hiding technologies, carry out the danger of uncontrolled (unauthorized) and unlimited information exchange that might be used by people with unfriendly interests. The multimedia industry as well as the research community recognize the urgent necessity for network security and copyright protection, or rather the lack of adequate law for digital multimedia protection. This paper advocates the need for detecting hidden data in digital and analog media as well as in electronic transmissions, and for attempting to identify the underlying hidden data. Solving this problem calls for the development of an architecture for blind stochastic hidden data detection in order to prevent unauthorized data exchange. The proposed architecture is called StegoWall; its key aspects are the solid investigation, the deep understanding, and the prediction of possible tendencies in the development of advanced data hiding technologies. The basic idea of our complex approach is to exploit all information about hidden data statistics to perform its detection based on a stochastic framework. The StegoWall system will be used for four main applications: robust watermarking, secret communications, integrity control and tamper proofing, and internet/network security.

Paper Details

Date Published: 29 April 2002
PDF: 12 pages
Proc. SPIE 4675, Security and Watermarking of Multimedia Contents IV, (29 April 2002); doi: 10.1117/12.465324
Show Author Affiliations
Sviatoslav V. Voloshynovskiy, Univ. of Geneva (Switzerland)
Alexander Herrigel, Digital Copyright Technologies (Germany)
Yuri B. Rytsar, Digital Copyright Technologies (Switzerland)
Thierry Pun, Univ. of Geneva (Switzerland)

Published in SPIE Proceedings Vol. 4675:
Security and Watermarking of Multimedia Contents IV
Edward J. Delp III; Ping Wah Wong, Editor(s)

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