Download e-book for kindle: Advanced Statistical Steganalysis by Rainer Böhme

By Rainer Böhme

ISBN-10: 3642143121

ISBN-13: 9783642143120

ISBN-10: 364214313X

ISBN-13: 9783642143137

Steganography is the paintings and technology of hiding info in inconspicuous hide info in order that even the lifestyles of a mystery message is saved personal, and steganalysis is the duty of detecting mystery messages in covers. This examine monograph makes a speciality of the position of canopy signs, the distinguishing function that calls for us to regard steganography and steganalysis in a different way from different secrecy recommendations. the most theoretical contribution of the booklet is an offer to constitution ways to provably safe steganography based on their implied assumptions at the limits of the adversary and at the nature of covers. an additional contribution is the emphasis on facing heterogeneity in hide distributions, an important for defense analyses. The author's paintings enhances prior methods in accordance with details, complexity, chance and sign processing conception, and he offers quite a few useful implications. The medical advances are supported by way of a survey of the classical steganography literature; a brand new idea for a unified terminology and notation that's maintained during the e-book; a severe dialogue of the implications accomplished and their obstacles; and an evaluation of the potential for shifting components of this research's empirical point of view to different domain names in details safeguard. The ebook is acceptable for researchers operating in cryptography and data protection, practitioners within the company and nationwide defense domain names, and graduate scholars focusing on multimedia safety and information hiding.

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Extra resources for Advanced Statistical Steganalysis

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Embedding a secret message by shifting k phase coefficients in both channels randomly is obviously less secure than shifting 2k coefficients in both channels symmetrically, although the embedding distortion (measured in the number of cover symbols changed) is doubled. 4 Paradigms for the Design of Steganographic Systems 23 because humans can hear phase differences between two mixing sources, and a steganalyst could evaluate asymmetries between the two channels, which are atypical for natural audio signals.

This means that this symbol is used to convey the secret message and can be interpreted by Extract. In (0) (1) fact, xi = xi if the steganographic meaning of the cover symbol already matches the respective part of the message. Note that there is not necessarily a one-to-one relation between message symbols and cover symbols carrying (1) secret message information xi , as groups of cover symbols can be interpreted jointly in certain stego systems (cf. Sect. 2). Without loss of generality, we make the following assumptions in this book: • The secret message m ∈ M = {0, 1}∗ is a vector of bits with maximum entropy.

In the context of experimental observations of detector output, the term ‘probability’ is replaced by ‘rate’ to signal the relation to frequencies counted in a finite sample. , the worse the decisions a steganalyst makes). Almost all systematic steganalysis methods do not directly come to a binary conclusion (cover or stego), but base their binary output on an internal state that is measured at a higher precision, for example, on a continuous scale. A decision threshold τ is used to quantise the internal state to a binary output.

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Advanced Statistical Steganalysis by Rainer Böhme


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