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Performance Evaluation of Chaotic Maps Attractors in Image Encryption

机译：混沌映射和吸引子在图像加密中的性能评估

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摘要

With the rapid development in the field of communication, the confidential transfer of information become vital as they are passing through an unsecure public channel. The contidentiality can be greatly achieved by means of encryption. As images are the most important multimedia content need to be transmitted, the concept of image encryption emerged and raise as a hot topic in the research area as well as for real time applications. In this proposed work, the performance analysis of various chaotic maps such as Logistic, Sinus, Circle and Chebyshev and attractors namely Lorenz and Lu are carried out and the results evaluated the strength of each map and attractors for image encryption. From the results, it is evidenced that the chaotic map such as chebyshev and circle map outperforms the logistic and sinus map in terms of correlation, entropy and keyspace wherein the Lorenz attractor outperforms the Lu attractor. Near zero correlation and the entropy close to 8 are the important parameters for good image encryption.
机译：随着通信领域的飞速发展，信息的秘密传输变得越来越重要，因为它们正通过不安全的公共渠道传递。可以通过加密极大地提高机密性。由于图像是最重要的多媒体内容，需要传输，因此图像加密的概念应运而生，并成为研究领域以及实时应用中的热门话题。在这项拟议的工作中，对诸如Logistic，窦，圆和Chebyshev以及吸引器（即Lorenz和Lu）的各种混沌图进行了性能分析，结果评估了每个图和吸引器用于图像加密的强度。从结果证明，在相关性，熵和键空间方面，诸如切比雪夫（Chebyshev）和圆形图的混沌图优于逻辑图和窦道图，其中洛伦兹吸引子优于鲁吸引子。接近零的相关性和接近8的熵是良好图像加密的重要参数。

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