Article: An enhanced security framework for IoT environment using Jaya optimisation-based genetic algorithm Journal: International Journal of Internet Technology and Secured Transactions (IJITST) 2023 Vol.13 No.1 pp.11 - 25 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. Inderscience Publishers - linking academia, business and industry through research

Title: An enhanced security framework for IoT environment using Jaya optimisation-based genetic algorithm

Authors: S. Velliangiri; Iwin Thanakumar Joseph; Shanthini Pandiaraj; P. Leela Jancy; Ch. Madhubabu

Addresses: Department of Computational Intelligence, SRM Institute of Science and Technology, Kattankulathur, Chennai, India ' Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vijayawada, Andhra Pradesh, India ' Department of ECE, Karunya Institute of Technology and Sciences, Coimbatore, India ' Department of Information Technology, Sri Sairam Institute of Technology, Chennai, India ' Department of Computer Science and Engineering, B V Raju Institute of Technology, Narasapur, India

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.

Keywords: internet of things; IoT; cloud storage; data access; Jaya algorithm; JA; genetic algorithm; GA; security; privacy.

DOI: 10.1504/IJITST.2023.127388

International Journal of Internet Technology and Secured Transactions, 2023 Vol.13 No.1, pp.11 - 25

Received: 09 Sep 2021
Accepted: 22 Mar 2022
Published online: 02 Dec 2022 *

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Title: An enhanced security framework for IoT environment using Jaya optimisation-based genetic algorithm

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