Chosen-Plaintext Cryptanalysis of a Clipped-Neural-Network-Based Chaotic Cipher
Li, CQ, Li, SJ, Zhang, D and Chen, GR (2005) Chosen-Plaintext Cryptanalysis of a Clipped-Neural-Network-Based Chaotic Cipher In: 2nd International Symposium on Neural Networks (ISNN 2005), 2005-05-30 - 2005-06-01, Chongqing, China.
Available under License : See the attached licence file.
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.
|Item Type:||Conference or Workshop Item (Conference Paper)|
|Divisions :||Faculty of Engineering and Physical Sciences > Computing Science|
|Identification Number :||https://doi.org/10.1007/11427445_103|
|Related URLs :|
|Additional Information :||The final publication is available at Springer via http://dx.doi.org/10.1007/11427445_103|
|Depositing User :||Symplectic Elements|
|Date Deposited :||26 Aug 2015 13:28|
|Last Modified :||26 Aug 2015 13:28|
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