Prevention of Sybil Attack on Block Chain to Ensure Security of Wireless Sensor Network

Authors

  • Satpal Singh Research Scholar,Departmentof ComputerScience, Punjabi University Patiala
  • Subhash Chander Assistant Professor in Computer Science University College Jaitu

Keywords:

Wireless Sensor Network, Block chain, Proof of Work, Proof of Authority

Abstract

This study explores the enhancement of security and reliability in a Wireless Sensor Network (WSN) using blockchain technology. We focus on the integration of blockchain within WSN to provide robust authentication without the involvement of a third party. The methodology begins with the collection of routing data using Q-tables in MATLAB, followed by uploading this data to the blockchain, ensuring the data's security with SHA256 cryptography encryption. The blockchain network's resilience is assessed against a Sybil attack by employing two consensus algorithms, Proof of Work (PoW) and Proof of Authority (PoA). We execute a Sybil attack on the blockchain network, aiming to investigate the efficiency of PoW and PoA in detecting and preventing the attack. The assessment reveals that PoW provides superior security guarantees, maintaining the blockchain's integrity, validity, and resilience against the attack, albeit with higher computational efforts. In contrast, PoA demonstrates faster operations but fails to ensure the network's integrity post-attack, proving to be less reliable in a hostile environment. This comprehensive examination offers valuable insights into the security dynamics of a blockchain-integrated WSN, contributing substantially to the field by outlining the strengths and weaknesses of employing different consensus algorithms in thwarting potential attacks on the network.

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Published

13.12.2023

How to Cite

Singh, S. ., & Chander, S. . (2023). Prevention of Sybil Attack on Block Chain to Ensure Security of Wireless Sensor Network. International Journal of Intelligent Systems and Applications in Engineering, 12(8s), 14–24. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/4083

Issue

Vol. 12 No. 8s (2024)

Section

Research Article

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