Title: Securing wireless sensor networks using machine learning and blockchain

Authors: K. Sathiya Priya; C. Rajabhushanam

Addresses: Department of Computer Science and Engineering, Bharath Institute of Science and Technology, Chennai, India ' Department of Computer Science and Engineering, Bharath Institute of Science and Technology, Chennai, India

Abstract: This study studies the prospect of improving the reliability and security of a wireless sensor network (WSN) by using blockchain technology. The process starts with the gathering of routing data via the use of Q-tables in MATLAB. This is followed by the uploading of the data to the blockchain, where it is encrypted using SHA256 cryptography to ensure its safety. Proof-of-work (PoW) and proof-of-authority (PoA) are the two consensus algorithms used to evaluate the robustness of the blockchain network. We carry out a Sybil attack on the blockchain network with the intention of determining how effective proof of work and proof of authority are in identifying and preventing breaches of security. The evaluation demonstrates that proof-of-work (PoW) offers greater security assurances, preserving the integrity, validity, and resilience of the blockchain against the attack, despite the fact that it requires more computing resources.

Keywords: wireless sensor network; WSN; machine learning; blockchain; agriculture; security.

DOI: 10.1504/IJESDF.2026.152238

International Journal of Electronic Security and Digital Forensics, 2026 Vol.18 No.2, pp.171 - 182

Received: 09 Feb 2024
Accepted: 30 Apr 2024
Published online: 12 Mar 2026 *

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