Title :
The Improvement of Public Key Cryptography Based on Chaotic Neural Networks
Author :
Zhang, Yunpeng ; Xue, Tongtong ; Zhai, Zhengjun ; Chunyan Ma ; Cai, Xiaobin
Author_Institution :
Coll. of Software & Microelectron., Northwestern Polytech. Univ., Xian
Abstract :
This paper provides compendious analysis from the aspect of choosing neural network. By adopting a kind of hybrid-coding and chaotic map, the modified algorithm performs better result on avalanche test. The result from the test on avalanche, cipher-text balance and independence indicates that the modified algorithm performs much better on resisting decryption.
Keywords :
encoding; neural nets; public key cryptography; avalanche test; chaotic map; chaotic neural networks; cipher-text balance; hybrid-coding; public key cryptography; Algorithm design and analysis; Biological neural networks; Chaos; Chaotic communication; Educational institutions; Matrix decomposition; Neural networks; Public key; Public key cryptography; Testing;
Conference_Titel :
Intelligent Systems Design and Applications, 2008. ISDA '08. Eighth International Conference on
Conference_Location :
Kaohsiung
Print_ISBN :
978-0-7695-3382-7
DOI :
10.1109/ISDA.2008.267
