Abstract
Wireless Sensor Networks (WSNs) are becoming more popular for many applications due to their convenient services. However, sensor nodes may suffer from significant security flaws, leading researchers to propose authentication schemes to protect WSNs. Although these authentication protocols significantly fulfill the required protection, security enhancement with less energy consumption is essential to preserve the availability of resources and secure better performance. In 2020, Youssef et al. suggested a scheme called Enhanced Probabilistic Cluster Head Selection (LEACH-PRO) to extend the sensors’ lifetime in WSNs. This paper introduces a new variant of the LEACH-PRO protocol by adopting the blockchain security technique to protect WSNs. The proposed protocol (SLEACH-PRO) performs a decentralized authentication mechanism by applying a blockchain to multiple base stations to avoid system and performance degradation in the event of a station failure. The security analysis of the SLEACH-PRO is performed using Burrows–Abadi–Needham (BAN) logic and Automated Validation of Internet Security Protocols and Applications (AVISPA) tool. Moreover, the SLEACH-PRO is evaluated and compared to related protocols in terms of computational cost and security level based on its resistance against several attacks. The comparison results showed that the SLEACH-PRO protocol is more secure and requires less computational cost compared to other related protocols.
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Reference33 articles.
1. Kocakulak, M., and Butun, I. An overview of Wireless Sensor Networks towards internet of things. Proceedings of the 2017 IEEE 7th Annual Computing and Communication Workshop and Conference (CCWC).
2. Prosperity, vulnerabilities and security threats in WSN;Chaudhary;Int. J. Adv. Res. Comp. Sci.,2012
3. Simon, G., Maróti, M., Lédeczi, Á., Balogh, G., Kusy, B., Nádas, A., Pap, G., Sallai, J., and Frampton, K. Sensor network-based countersniper system. Proceedings of the 2nd International Conference on Embedded Networked Sensor Systems, 2004.
4. Yick, J., Mukherjee, B., and Ghosal, D. Analysis of a prediction-based mobility adaptive tracking algorithm. Proceedings of the 2nd International Conference on Broadband Networks.
5. Self-organization of a heterogeneous sensor network by genetic algorithms;Buczak;Intell. Eng. Syst. Through Artif. Neural Netw.,1998
Cited by
3 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献