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On Security Notions for Steganalysis

Authors: Kisik Chang; Robert H. Deng; Feng Bao 0001; Sangjin Lee 0002; HyungJun Kim; Jongin Lim 0001;

On Security Notions for Steganalysis

Abstract

There have been some achievements in steganalysis recently. Many people have been making strides in steganalysis. They have approached steganalysis from different angles; from information theory to complexity theory. Anderson gave a possibility that there is a provable secure steganographic system, but there had not been complexity theoretical approaches for years. In 2002, Katzenbeisser and Petitcolas defined the conditional security of steganography and gave a possibility for a practical, provable secure steganography for the first time, and Hopper et al. introduced a provable secure steganographic algorithm in the sense of complexity theory. Chang et al. also tried to define the complexity theoretical security and showed a practical, provable secure algorithm. Chang et al. presented chose-input attack model in a view of pseudoprocessingness for a steganographic system. In this paper, we try to improve this notion in detail. So we define chosen-cover attack model and chosen-message attack model. Moreover, we present the relation between them.

Country
Singapore
Keywords

Information Security, steganography, steganalysis, pseudoprocessingness

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Green