文章基本信息

标题：Efficient Image Scrambling based on any Chaotic Map
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作者：Cao Guanghui ; Hu Kai ; Zhou Jun 等
期刊名称：International Journal of Security and Its Applications
印刷版ISSN：1738-9976
出版年度：2014
卷号：8
期号：1
页码：343-354
DOI：10.14257/ijsia.2014.8.1.32
出版社：SERSC
摘要：This paper presents a new image permutation algorithm to improve permutation efficiency. Based on uniform trend theorem and ideal bias theorem, we propose two classes of extractors, which solve the critical problem of any chaotic sequence uniformity. Then, the uniform chaotic sequence is transformed into integer space and the random integers are used to perform one-dimensional data permutation algorithm, which is based on data position interchange. Based on the data vector permutation, a secure and efficient image permutation is presented. Comparing with previous approaches, the proposed scheme is secure and its efficiency is enhanced.
关键词：Image scrambling; position interchange; uniform distribution; sorting ; permutation