Title: EBBSMWN: design of an energy-aware blockchain-based bioinspired security model of wireless networks

Authors: Bhupesh B. Lonkar; Swapnili Karmore

Addresses: Department of Computer Engineering, Cummins College of Engineering for Women, Nagpur, India ' Department of CSE-AI&ML, Tulsiramji Gaikwad-Patil College of Engineering and Technology, Nagpur, India

Abstract: Energy-aware wireless networks require low-complexity data communication computations for operational longevity and real-time traffic demands. However, these networks face security and scalability challenges when node numbers exceed a threshold, leading to proposed models. This abstract presents a new approach to improve energy-aware wireless networks' security using blockchain technology and bioinspired techniques. It uses the ant lion optimisation method to select optimal encryption and hashing models for energy-aware blockchains, and the elephant herding optimisation model to enhance energy efficiency. The model's feasibility was tested using various performance indicators, including Sybil, DDoS, Finney, and man-in-the-middle attacks. The proposed model, combining blockchain technology, bioinspired techniques, and optimisation algorithms, results in a 4.5% reduction in energy consumption, a 5.9% decrease in communication delay, and a 2.5% reduction in jitter in wireless networks, offering a promising solution for energy-aware wireless networks.

Keywords: blockchain; encryption; hashing; sharding; attacks; delay; energy; jitter; scenarios.

DOI: 10.1504/IJICS.2025.148857

International Journal of Information and Computer Security, 2025 Vol.28 No.2, pp.227 - 248

Received: 24 Mar 2023
Accepted: 14 Nov 2023
Published online: 29 Sep 2025 *

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