A new class of efficient piecewise nonlinear chaotic maps for secure cryptosystems
dc.contributor.author | Li, Y. | |
dc.contributor.author | Feng, Q. | |
dc.contributor.author | Liu, Wan-quan | |
dc.contributor.author | Wang, Y. | |
dc.contributor.editor | Loi Lei Lai | |
dc.date.accessioned | 2017-01-30T11:43:40Z | |
dc.date.available | 2017-01-30T11:43:40Z | |
dc.date.created | 2010-03-09T20:02:49Z | |
dc.date.issued | 2009 | |
dc.identifier.citation | Li, Y. and Feng, Q. and Liu, Wan-quan and Wang, Y. 2009. A new class of efficient piecewise nonlinear chaotic maps for secure cryptosystems, in Lai, L. L. (ed), ICMLC 2009, Jul 12 2009, pp. 333-338.Baoding, Hebei, China: IEEE. | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/14433 | |
dc.description.abstract |
In this paper we construct a new class of nonlinear chaotic maps for secure cryptosystems. These maps can overcome the security holes brought by the "piecewise linearity" of the previous Piecewise Linear Chaotic Maps (PWLCM) due to a fact that the chaotic sequences generated by the derived iterative system based on the proposed maps are proved to have perfect dynamic properties, such as uniform invariant distribution, d-like autocorrelation function etc. Furthermore, the relative quantized two-value sequences also have perfect secure statistical characteristics. In terms of computing speed, the proposed maps have faster speed than the recently proposed nonlinear "piecewise-square-root" maps (PSRM), and they actually have equivalently the same computing speed with the linear PWLCM. | |
dc.publisher | Institute of Electrical and Electronics Engineers | |
dc.relation.uri | http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5212550 | |
dc.subject | Chaotic maps | |
dc.subject | Invariant - distribution | |
dc.subject | Nonlinear maps | |
dc.subject | Cryptography | |
dc.title | A new class of efficient piecewise nonlinear chaotic maps for secure cryptosystems | |
dc.type | Conference Paper | |
dcterms.source.startPage | 333 | |
dcterms.source.endPage | 338 | |
dcterms.source.title | Proceedings of the 8th International conference on Machine learning and Cybernetics | |
dcterms.source.series | Proceedings of the 8th International conference on Machine learning and Cybernetics | |
dcterms.source.isbn | 9781424437030 | |
dcterms.source.conference | ICMLC 2009 | |
dcterms.source.conference-start-date | Jul 12 2009 | |
dcterms.source.conferencelocation | Baoding, Hebei, China | |
dcterms.source.place | USA | |
curtin.note |
Copyright © 2009 IEEE This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. | |
curtin.accessStatus | Open access | |
curtin.faculty | School of Science and Computing | |
curtin.faculty | Department of Computing | |
curtin.faculty | Faculty of Science and Engineering |