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Comments on arithmetic coding as a non-linear dynamical system

delete2012-12-01
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PRE
AI
A
Amit Pande *
J
Joseph Zambreno
P
Prasant Mohapatra
DOI:10.1016/j.cnsns.2012.06.006delete
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摘要

摘要

En 中文
Nagaraj et al. [1,2] present a skewed-non-linear generalized Luroth series (s-nGLS) framework. S-nGLS uses non-linear maps for GLS to introduce a security parameter a which is used to build a keyspace for image or data encryption. The map introduces non-linearity to the system to add an encryption key parameter. The skew is added to achieve optimal compression efficiency. s-nGLS used as such for joint encryption and compression is a weak candidate, as explained in this communication. First, we show how the framework is vulnerable to known plaintext based attacks and that a key of size 256 bits can be broken within 1000 trials. Next, we demonstrate that the proposed non-linearity exponentially increases the hardware complexity of design. We also discover that s-nGlS cannot be implemented as such for large bitstreams. Finally, we demonstrate how correlation of key parameter with compression performance leads to further key vulnerabilities. (C) 2012 Elsevier B. V. All rights reserved.
Keyword:
Chaos
Arithmetic coding
Encryption

期刊

Communications in Nonlinear Science and Numerical Simulation 封面图
Communications in Nonlinear Science and Numerical Simulation
IF:
3.8
论文数:
9.2K
被引数:
1.8W

机构

U
university of california davis
学者数:
3.4W
论文数: 2.6W
被引数: 45
University of California System 封面图
University of California System
学者数:
37.5W
论文数: 33.8W
被引数: 6.6K
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