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  5. A general quantitative cryptanalysis of permutation-only multimedia ciphers against plaintext attacks

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Article
English
2008

A general quantitative cryptanalysis of permutation-only multimedia ciphers against plaintext attacks

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English
2008
Signal Processing Image Communication
Vol 23 (3)
DOI: 10.1016/j.image.2008.01.003

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Guanrong Chen
Guanrong Chen

City University Of Hong Kong

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Shujun Li
Chengqing Li
Guanrong Chen
+2 more

Abstract

In recent years secret permutations have been widely used for protecting different types of multimedia data, including speech files, digital images and videos. Based on a general model of permutation-only multimedia ciphers, this paper performs a quantitative cryptanalysis on the performance of these kind of ciphers against plaintext attacks. When the plaintext is of size M × N and with L different levels of values, the following quantitative cryptanalytic findings have been concluded under the assumption of a uniform distribution of each element in the plaintext: (1) all permutation-only multimedia ciphers are practically insecure against known/chosen-plaintext attacks in the sense that only O ( log L ( MN ) ) known/chosen plaintexts are sufficient to recover not less than (in an average sense) half elements of the plaintext; (2) the computational complexity of the known/chosen-plaintext attack is only O ( n · ( MN ) 2 ) , where n is the number of known/chosen plaintexts used. When the plaintext has a non-uniform distribution, the number of required plaintexts and the computational complexity is also discussed. Experiments are given to demonstrate the real performance of the known-plaintext attack for a typical permutation-only image cipher.

How to cite this publication

Shujun Li, Chengqing Li, Guanrong Chen, Nikolaos Bourbakis, Kwok‐Tung Lo (2008). A general quantitative cryptanalysis of permutation-only multimedia ciphers against plaintext attacks. Signal Processing Image Communication, 23(3), pp. 212-223, DOI: 10.1016/j.image.2008.01.003.

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Publication Details

Type

Article

Year

2008

Authors

5

Datasets

0

Total Files

0

Language

English

Journal

Signal Processing Image Communication

DOI

10.1016/j.image.2008.01.003

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