A chaotic-system-based parallel image encryption algorithm with orthogonal arrays supporting thumbnail decryption

IF 7.5 1区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Lili Zhou, Qilin Chen, Fei Tan, Changxin Wu
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Abstract

Cloud computing is a technology which offers users with on-demand access to various resources, and the protection of user information has turned into one significant challenge for cloud service providers (CSPs). In order to enhance the security of image files while meeting the performance demands of cloud computing, this study mainly focuses on the protection of image information in cloud environments, and then an efficient multi-image encryption strategy with fusion of DNA coding and orthogonal arrays is proposed. This scheme is tailored for parallel computing environments in the cloud, which can be able to achieve multi-threaded encryption/decryption for large numbers of images with various sizes at high speed. During the process of decryption, it allows users to spend less time decrypting the encrypted images into thumbnails or selectively decrypting specific images for easier browsing, which significantly reduces data transmission and server computation loads. The encryption keys are generated through coupling one discrete memristor and a sine map into one new chaotic map, then the orthogonal arrays and DNA coding for bit-level encryption and permutation of images are supplied to enhance the encryption security. Simulation tests and security analysis indicate that the strategy achieves high levels of safety and reliability while delivering excellent performance. The more images being encrypted, the higher the encryption efficiency will be. In the test environment, the speed can reach up to 24 MB/s, which is far exceeding encryption algorithms implemented on the same platform. In addition, this study further extends the application of proposed encryption scheme to the encryption of video data, the relevant analysis and simulations are supplied to verify the feasibility and effectiveness of the scheme.
一种支持缩略图解密的正交数组混沌系统并行图像加密算法
云计算是一种为用户提供按需访问各种资源的技术,用户信息的保护已成为云服务提供商(csp)面临的一个重大挑战。为了在满足云计算性能需求的同时增强图像文件的安全性,本文主要研究了云环境下图像信息的保护,提出了一种融合DNA编码和正交阵列的高效多图像加密策略。该方案是为云中的并行计算环境量身定制的,能够对大量不同大小的图像高速实现多线程加/解密。在解密过程中,它允许用户花费更少的时间将加密图像解密为缩略图或选择性地解密特定图像以方便浏览,从而显着减少数据传输和服务器计算负载。通过将一个离散忆阻器和一个正弦映射耦合成一个新的混沌映射来生成加密密钥,然后提供用于比特级加密和图像排列的正交阵列和DNA编码来提高加密安全性。仿真测试和安全性分析表明,该策略在提供优异性能的同时,实现了高水平的安全性和可靠性。加密的图像越多,加密效率越高。在测试环境中,速度可以达到24mb /s,远远超过在同一平台上实现的加密算法。此外,本研究将所提出的加密方案进一步扩展到视频数据的加密中,并进行了相关的分析和仿真,验证了方案的可行性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Expert Systems with Applications
Expert Systems with Applications 工程技术-工程:电子与电气
CiteScore
13.80
自引率
10.60%
发文量
2045
审稿时长
8.7 months
期刊介绍: Expert Systems With Applications is an international journal dedicated to the exchange of information on expert and intelligent systems used globally in industry, government, and universities. The journal emphasizes original papers covering the design, development, testing, implementation, and management of these systems, offering practical guidelines. It spans various sectors such as finance, engineering, marketing, law, project management, information management, medicine, and more. The journal also welcomes papers on multi-agent systems, knowledge management, neural networks, knowledge discovery, data mining, and other related areas, excluding applications to military/defense systems.
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