The oil and gas industry remains critical to the global economy, as it
contributes to the provision of energy and raw materials. Nonetheless,
this sector continued to face clear challenges in operational
effectiveness, risk and security. Regular tracking methods are limited
to latency issues; they are not secure, and data may face integrity issues.
To this end, this paper lays out an efficient fog-enabled private
blockchain-based identity authentication approach for oil and gas field
monitoring. By integrating IoT devices to blockchain, , decentralized
control systems are created that enhance security, transparency, and
efficient execution of transactions. In this scheme, by making full use
of the decentralized structure of blockchain technology and applying
the computational power of fog nodes, a secure and efficient identity
authentication framework is designed. Fog nodes are an intermediary
between IoT devices and blockchain technology, providing lower
latency in communication, and therefore more efficient. The main
contributions of this paper include: developing a decentralized
authentication system based on private blockchains and fog nodes to
overcome the drawbacks of centralized models. Create a network model
using a private blockchain that dramatically improves feasibility by
incorporating strict admission and authorization procedures. Hence,
this leads to simultaneous registrations with minimal network time
consensus Authentication that incorporating fuzzy extractor to connect
the privacy-centric approach and to improve the security analysis and
performance evaluation proving that the proposed solution provides
better. According to the previous security analysis, it is clear that the
scheme conflicts with different types of threats including DoS, MITM
attacks, replay, Sybil, and message substitution attacks. The
performance evaluation also shows low computational and
communication costs, high compatibility, and real-time operation,
which indicates that the proposed scheme is effective and can be
implemented as a real-time oil and gas field monitoring system.
Abdulla J. Y. Aldarwish1, Kalyani Patel2, Aqeel A. Yaseen3, Ali A. Yassin4, Zaid Ameen Abduljabbar5
Gujarat University, India1,3, K.S. School of Business Management and Information Technology, India2, College of Education for Pure Sciences, University of Basrah, Iraq4,5
Fog Computing, Blockchain, IIoT, Authentication, Oil and Gas Industry
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| Published By :
ICTACT
Published In :
ICTACT Journal on Communication Technology
( Volume: 15 , Issue: 3 , Pages: 3236 - 3247 )
Date of Publication :
September 2024
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236
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