An enhanced security framework for IoT environment using Jaya optimisation-based genetic algorithm Online publication date: Fri, 02-Dec-2022
by S. Velliangiri; Iwin Thanakumar Joseph; Shanthini Pandiaraj; P. Leela Jancy; Ch. Madhubabu
International Journal of Internet Technology and Secured Transactions (IJITST), Vol. 13, No. 1, 2023
Abstract: The internet of things (IoT) employs a cloud network, and the data stored in the cloud servers are highly vulnerable to various attacks. As per the current analysis report, around 23% of IoT devices are prone to attack. The data stored in the cloud storage are highly vulnerable to attacks leading to a pullback factor of 15% in economic growth. Considering the above security of the IoT devices, this paper proposes a framework integrating the Jaya algorithm and genetic algorithm to achieve an optimal detection of intrusion in the IoT network. The JA is a parameter less algorithm that does not require any precise control parameters. In contrast, the GA is a meta-heuristic approach that produces reasonable quality solutions for complex functions. The extensive analysis of the proposed algorithm yield better performance in vital parameters like accuracy, recall and F-score.
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