Intelligent Tunicate Swarm-Optimization-Algorithm-Based Lightweight Security Mechanism in Internet of Health Things
作者机构：Faculty of Information TechnologyDuy Tan UniversityDa Nang550000Vietnam Graduate SchoolDuy Tan UniversityDa Nang550000Vietnam Department of Computer Science and EngineeringSejong UniversitySeoul05006South Korea Department of Electronic EngineeringKwangwoon UniversitySeoul01897South Korea
出 版 物：《Computers, Materials & Continua》 (计算机、材料和连续体（英文）)
年 卷 期：2021年第66卷第1期
页 面：551-562页
核心收录：
学科分类：0831[工学-生物医学工程（可授工学、理学、医学学位）] 083002[工学-环境工程] 0830[工学-环境科学与工程（可授工学、理学、农学学位）] 0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 0805[工学-材料科学与工程（可授工学、理学学位）] 0701[理学-数学] 0801[工学-力学（可授工学、理学学位）] 0812[工学-计算机科学与技术（可授工学、理学学位）]
主 题：Internet of Health Things healthcare Simon cipher tunicate swarm optimization
摘 要：Fog computing in the Internet of Health Things(IoHT)is promising owing to the increasing need for energy-and latency-optimized health sector ***,clinical data(particularly,medical image data)are a delicate,highly protected resource that should be utilized in an effective and responsible manner to fulfil consumer ***,we propose an energy-efficient fog-based IoHT with a tunicate swarm-optimization-(TSO)-based lightweight Simon cipher to enhance the energy efficiency at the fog layer and the security of data stored at the cloud *** proposed Simon cipher uses the TSO algorithm to select the optimal keys that will minimize the deterioration of quality between the original and reconstructed(decrypted)*** this study,the decrypted image quality is preserved by the peak signal-to-noise ratio(PSNR)such that consumers can generate precise medical reports from IoHT devices at the application ***,a lightweight encryption step is implemented in the fog to improve energy efficiency and reduce additional computations at the cloud *** results indicate that the TSO-Simon model achieved a high PSNR of 61.37 dB and a pixel change rate of 95.31.
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