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Steganographic strategies for a square distortion function
Author(s) -
Andrew D. Ker
Publication year - 2008
Publication title -
proceedings of spie, the international society for optical engineering/proceedings of spie
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.192
H-Index - 176
eISSN - 1996-756X
pISSN - 0277-786X
DOI - 10.1117/12.765913
Subject(s) - steganography , embedding , cover (algebra) , payload (computing) , sublinear function , information hiding , distortion function , steganalysis , mathematics , bounded function , computer science , algorithm , square (algebra) , discrete mathematics , theoretical computer science , decoding methods , mathematical analysis , artificial intelligence , computer security , geometry , mechanical engineering , network packet , engineering
Recent results on the information theory of steganography suggest, and under some conditions prove, that the detectability of payload is proportional to the square of the number of changes caused by the embedding. Assum- ing that result in general, this paper examines the implications for an embedder when a payload is to be spread amongst multiple cover objects. A number of variants are considered: embedding with and without adaptive source coding, in uniform and nonuniform covers, and embedding in both a fixed number of covers (so-called batch steganography) as well as establishing a covert channel in an infinite stream (sequential steganography, studied here for the first time). The results show that steganographic capacity is sublinear, and strictly asymp- totically greater in the case of a fixed batch than an infinite stream. In the former it is possible to describe optimal embedding strategies; in the latter the situation is much more complex, with a continuum of strategies which approach the unachievable asymptotic optimum.

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