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All Journal International Journal of Computer Technology and Science
Xavier Liong Zhi Hao
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Computer Science & IT

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Enhancing Security in Industrial IoT: Authentication Solutions Leveraging Blockchain Technology Rebecca Ling Ze Siew; Brendan Chan Kah Le; Lee Kai Yue; Nuri Nazirah Binti Ismail; Xavier Liong Zhi Hao; Muhammad Faisal
International Journal of Computer Technology and Science Vol. 1 No. 3 (2024): July : International Journal of Computer Technology and Science
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijcts.v1i3.29

Abstract

The rapid advancement of Industrial Internet of Things (IIoT) technology necessitates robust authentication solutions to ensure security, scalability, and efficiency. This project, titled "Enhancing Security in Industrial IoT: Authentication Solutions Leveraging Blockchain," examines various blockchain-based authentication methods for IIoT and identifies their strengths and weaknesses. Despite the enhanced security and decentralized nature of blockchain, issues such as scalability, high latency, and computational load persist. To address these challenges, we propose the integration of Multi-Factor Authentication (MFA) as a supplementary solution. MFA can distribute the authentication load, enhance flexibility and security, and reduce latency by utilizing quick-to-verify factors. Moreover, MFA ensures high availability and scalable storage and processing through cloud services, seamlessly integrating with existing systems to provide a superior user experience. This comprehensive approach not only mitigates the inherent limitations of blockchain technology in IIoT but also reinforces the overall security framework, ensuring resilient and efficient authentication mechanisms. The results demonstrate significant improvements in system performance and user satisfaction, establishing MFA as a viable enhancement to blockchain-based IIoT security solutions.
Co-Authors Brendan Chan Kah Le Lee Kai Yue Muhammad Faisal Nuri Nazirah Binti Ismail Rebecca Ling Ze Siew