Chosen-plaintext cryptanalysis of a clipped-neural-network-based chaotic cipher

Authors:
Chengqing Li;Shujun Li;Dan Zhang;Guanrong Chen
Affiliations:
Department of Mathematics, Zhejiang University, Hangzhou, China;Department of Electronic Engineering, City University of Hong Kong, Kowloon, Hong Kong, China;College of Computer Science, Zhejiang University, Hangzhou, China;Department of Electronic Engineering, City University of Hong Kong, Kowloon, Hong Kong, China
Venue:
ISNN'05 Proceedings of the Second international conference on Advances in neural networks - Volume Part II
Year:
2005

Citing 2
Cited 1

Applied cryptography (2nd ed.): protocols, algorithms, and source code in C

Applied cryptography (2nd ed.): protocols, algorithms, and source code in C
Cryptanalysis of a chaotic neural network based multimedia encryption scheme

PCM'04 Proceedings of the 5th Pacific Rim conference on Advances in Multimedia Information Processing - Volume Part III

Neuro-Cryptanalysis of DES and Triple-DES

ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part V

Quantified Score

Hi-index	0.00

Visualization

Abstract

At ISNN'04, a novel symmetric cipher was proposed, by combining a chaotic signal and a clipped neural network (CNN) for encryption. The present paper analyzes the security of this chaotic cipher against chosen-plaintext attacks, and points out that this cipher can be broken by a chosen-plaintext attack. Experimental analyses are given to support the feasibility of the proposed attack.