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Lightweight chaotic image encryption algorithm for real-time embedded system: Implementation and analysis on 32-bit microcontroller

机译:实时嵌入式系统的轻量级混沌图像加密算法:32位微控制器的实现与分析

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The scintillating technological advancements have redefined the process of communication around the world. Banking, purchases, investments, emails, bill payments, etc. are being managed through online communications and needless to mention the linkage of these internet serves with embedded gadgets. A microcontroller being the low-cost solutions for real-time embedded applications has to handle rigid security algorithms for information security paradigm. The high level of sensitivity in chaos-based systems is highly suitable for the design of encryption schemes due to the randomness offered by them. The minimal memory resource and speed are the factors restricting the use of microcontrollers for implementing chaotic schemes that encrypt image data. This paper presents the design of a chaos-based image encryption algorithm with lightweight properties and its optimised implementation on a 32-bit microcontroller. This work also includes parameters related to the analysis of the security level and performance of the microcontroller that was missed to concentrate by the authors on their similar schemes reported in the literature. The level of safety of the proposed algorithm has been analysed via key sensitivity analysis, encryption quality analysis, randomness analysis, differential analysis, statistical analysis, visual analysis and attack analysis. Additionally, the results of performance analysis regarding smaller memory footprint and better throughput of proposed algorithm guarantee its suitability for real-time embedded applications.
机译:惊人的技术进步重新定义了全世界的交流过程。银行,购买,投资,电子邮件,账单支付等通过在线通信进行管理,不用说,这些Internet服务与嵌入式小工具之间的联系。作为实时嵌入式应用的低成本解决方案的微控制器必须处理用于信息安全范例的严格安全算法。由于基于混沌的系统具有很高的随机性,因此它们非常适合于加密方案的设计。最小的内存资源和速度是限制微控制器用于实现加密图像数据的混沌方案的因素。本文介绍了具有轻量级特性的基于混沌的图像加密算法的设计及其在32位微控制器上的优化实现。这项工作还包括与微控制器的安全级别和性能分析有关的参数,而作者遗漏将其集中在文献中报道的类似方案上。通过密钥敏感度分析,加密质量分析,随机性分析,差异分析,统计分析,视觉分析和攻击分析对所提出算法的安全性水平进行了分析。此外,有关较小内存占用和更好算法吞吐量的性能分析结果保证了其适用于实时嵌入式应用程序。

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