DocumentCode :
615215
Title :
Mathematical analysis of extended matrix coding for steganography
Author :
Li Fan ; Tiegang Gao ; Chin-Chen Chang
Author_Institution :
Coll. of Software, Nankai Univ., Tianjin, China
fYear :
2013
fDate :
18-19 May 2013
Firstpage :
156
Lastpage :
160
Abstract :
Steganographic coding is an important technique for ensuring the security of steganography. It allows more secret messages to be embedded with a few modifications. As a typical representative of steganographic coding, the mechanism of extended matrix coding is described in detail. And a mathematical analysis is carried out when the secret message is a 0-1 random signal. According to the hierarchical mapping structure of hash function in the encoding process, a series of probabilities of each of extension-layers are obtained. The cost of setting symbol bits is also calculated. The quantitative relationship between the maximum permitted layer L and the embedding efficiency of stegosystem is confirmed. By theoretical analysis, we conclude that the performance of extended matrix coding is worse than that of original matrix coding when the secret message is a stochastic signal. The former will only be superior when the secret message is a black type logo.
Keywords :
cryptography; encoding; mathematical analysis; probability; steganography; encoding process; extended matrix coding; hash function; hierarchical mapping structure; mathematical analysis; probability; random signal; secret message; steganographic coding; steganography security; stegosystem; stochastic signal; symbol bits; Algorithm design and analysis; Decoding; Educational institutions; Encoding; Hamming distance; Mathematical analysis; Security; embedding efficiency; embedding rate; extended matrix coding; steganographic coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Sensor Network Security Technology and Privacy Communication System (SNS & PCS), 2013 International Conference on
Conference_Location :
Nangang
Print_ISBN :
978-1-4673-6452-2
Type :
conf
DOI :
10.1109/SNS-PCS.2013.6553856
Filename :
6553856
Link To Document :
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