Proposed HCDNA for Enhancing the Security of Marine Environment IoT Systems

Tokka Elsayed Ahmed, Walid A. Raslan, Atif Ghouniem, H. Abdel-Atty
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Abstract

Recently, the shipping industry and marine operations have been intensively reliable on the internet of things (IoT).IoT devices are used for the automation of shipping operations cargo tracking and security monitoring of the ships. In this paper, we focus on maintaining efficient security levels for marine communications. We propose new cryptographic methods based on the hyperchaotic sequence and the DNA sequence for image encryption. The proposed algorithm is applied to a smart buoy to enhance the security of the transmitted image through IoT systems in shipping industry monitoring. In addition, we evaluate and analyze the performance of three existing encryption algorithms for IoT (Blowfish, Advanced Encryption Standard (AES), and International Data Encryption Algorithm (IDEA)). Furthermore, a comparison was conducted between the three existing algorithms and the proposed one in terms of encryption time, correlation coefficient, and entropy before and after encryption. The simulation experiments show that the proposed cryptographic method outperforms the three existing algorithms in terms of quality, security, and robustness against noise as well as overall performance.
提高海洋环境物联网系统安全性的HCDNA
最近,航运业和海上作业已经高度依赖物联网(IoT)。物联网设备用于航运作业的自动化,货物跟踪和船舶的安全监控。在本文中,我们的重点是保持有效的安全水平的海上通信。提出了基于超混沌序列和DNA序列的图像加密新方法。将该算法应用于智能浮标中,通过航运业监控中的物联网系统提高传输图像的安全性。此外,我们评估和分析了三种现有的物联网加密算法(Blowfish,高级加密标准(AES)和国际数据加密算法(IDEA))的性能。并将现有的三种算法与本文提出的算法在加密时间、加密前后的相关系数、熵等方面进行了比较。仿真实验表明,该方法在质量、安全性、抗噪声鲁棒性和综合性能方面都优于现有的三种算法。
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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