Chosen-Plaintext Cryptanalysis of a Clipped-Neural-Network-Based Chaotic Cipher
<|reference_start|>Chosen-Plaintext Cryptanalysis of a Clipped-Neural-Network-Based Chaotic Cipher: In 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.<|reference_end|>
@article{li2004chosen-plaintext,
    title={Chosen-Plaintext Cryptanalysis of a Clipped-Neural-Network-Based Chaotic
  Cipher},
    author={Chengqing Li, Shujun Li, Dan Zhang and Guanrong Chen},
    journal={Lecture Notes in Computer Science, vol. 3497, pp. 630-636, 2005},
    year={2004},
    doi={10.1007/11427445_103},
    archivePrefix={arXiv},
    eprint={cs/0412103},
    primaryClass={cs.CR cs.NE nlin.CD}
}