White Rose University Consortium logo
University of Leeds logo University of Sheffield logo York University logo

Adaptive sliding mode observers in uncertain chaotic cryptosystems with a relaxed matching condition

Raoufi, R. and Zinober, A.S.I. (2006) Adaptive sliding mode observers in uncertain chaotic cryptosystems with a relaxed matching condition. In: Proceedings of the International IEEE Workshop on Variable Structure Systems. International Workshop on Variable Structure Systems VSS'06, 5-7 June, 2006, Alghero, Italy. Institute of Electrical and Electronics Engineers , pp. 220-225. ISBN 1-4244-0208-5

Full text available as:
[img] Text
maths_10697.pdf

Download (286Kb)

Abstract

We study the performance of adaptive sliding mode observers in chaotic synchronization and communication in the presence of uncertainties. The proposed robust adaptive observer-based synchronization is used for cryptography based on chaotic masking modulation (CM). Uncertainties are intentionally injected into the chaotic dynamical system to achieve higher security and we use robust sliding mode observer design methods for the uncertain nonlinear dynamics. In addition, a relaxed matching condition is introduced to realize the robust observer design. Finally, a Lorenz system is employed as an illustrative example to demonstrate the effectiveness and feasibility of the proposed cryptosystem

Item Type: Proceedings Paper
Copyright, Publisher and Additional Information: © Copyright 2006 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Keywords: Lorenz system; chaotic dynamical system; chaotic masking modulation; chaotic synchronization; cryptography; relaxed matching condition; robust adaptive sliding mode observers; uncertain chaotic cryptosystems; uncertain nonlinear dynamics
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Science (Sheffield) > School of Mathematics and Statistics (Sheffield)
Depositing User: Mrs Megan Hobbs
Date Deposited: 12 Apr 2010 09:22
Last Modified: 05 Jun 2014 19:25
Published Version: http://dx.doi.org/10.1109/VSS.2006.1644521
Status: Published
Publisher: Institute of Electrical and Electronics Engineers
Identification Number: 10.1109/VSS.2006.1644521
URI: http://eprints.whiterose.ac.uk/id/eprint/10697

Actions (login required)

View Item View Item