Image encryption based on a delayed fractional-order chaotic logistic system

A new image encryption scheme is proposed based on a delayed fractional-order chaotic logistic system.In the process of generating a key stream,the time-varying delay and fractional derivative are embedded in the proposed scheme to improve the security.Such a scheme is described in detail with secur...

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Bibliographic Details
Published inChinese physics B Vol. 21; no. 5; pp. 107 - 112
Main Author 王震 黄霞 李宁 宋晓娜
Format Journal Article
LanguageEnglish
Published 01.05.2012
Subjects
Chaos theory
Computer information security
Delay
Derivatives
Encryption
Logistics
Sensitivity analysis
Statistics
分数阶
加密方案
图像加密
安全分析
延迟
敏感性分析
混沌
物流系统
Online AccessGet full text
ISSN1674-1056
2058-3834
1741-4199
DOI10.1088/1674-1056/21/5/050506

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Summary:A new image encryption scheme is proposed based on a delayed fractional-order chaotic logistic system.In the process of generating a key stream,the time-varying delay and fractional derivative are embedded in the proposed scheme to improve the security.Such a scheme is described in detail with security analyses including correlation analysis,information entropy analysis,run statistic analysis,mean-variance gray value analysis,and key sensitivity analysis.Experimental results show that the newly proposed image encryption scheme possesses high security.
Bibliography:image encryption, fractional-order chaotic logistic system, delay
A new image encryption scheme is proposed based on a delayed fractional-order chaotic logistic system.In the process of generating a key stream,the time-varying delay and fractional derivative are embedded in the proposed scheme to improve the security.Such a scheme is described in detail with security analyses including correlation analysis,information entropy analysis,run statistic analysis,mean-variance gray value analysis,and key sensitivity analysis.Experimental results show that the newly proposed image encryption scheme possesses high security.
11-5639/O4
Wang Zhen ,Huang Xia ,Li Ning ,and Song Xiao-Na a） College of Information Science and Engineering,Shandong University of Science and Technology,Qingdao 266590,China b） Key Laboratory of Robotics and Intelligent Technology,College of Information and Electrical Engineering,Shandong University of Science and Technology,Qingdao 266590,China c） College of Electronic and Information Engineering,Henan University of Science and Technology,Luoyang 471003,China
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ISSN:1674-1056
2058-3834
1741-4199
DOI:10.1088/1674-1056/21/5/050506