The improvement of public key cryptography based on chaotic neural networks

Yunpeng Zhang, Tongtong Xue, Zhengjun Zhai, Chunyan Ma, Xiaobin Cai

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

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.

Original languageEnglish
Title of host publicationProceedings - 8th International Conference on Intelligent Systems Design and Applications, ISDA 2008
Pages326-330
Number of pages5
DOIs
StatePublished - 2008
Event8th International Conference on Intelligent Systems Design and Applications, ISDA 2008 - Kaohsiung, Taiwan, Province of China
Duration: 26 Nov 200828 Nov 2008

Publication series

NameProceedings - 8th International Conference on Intelligent Systems Design and Applications, ISDA 2008
Volume3

Conference

Conference8th International Conference on Intelligent Systems Design and Applications, ISDA 2008
Country/TerritoryTaiwan, Province of China
CityKaohsiung
Period26/11/0828/11/08

Fingerprint

Dive into the research topics of 'The improvement of public key cryptography based on chaotic neural networks'. Together they form a unique fingerprint.

Cite this