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Securing wireless sensor networks using machine learning and blockchain
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AI
DOI：10.1504/IJESDF.2026.152238.png)
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Abstract
En 中文
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
Journal
I
IF:
0.5
Papers:
26
Citations:
133