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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 14 Issue 10, 2023.
Abstract: In modern urban transportation systems, the efficient management of traffic intersections is crucial to ensure smooth traffic flow and reduce congestion. Distributed-control intersection networks, where control decisions are made collaboratively by multiple entities, offer promising solutions. However, maintaining the security and the integrity of shared data among these entities poses significant challenges, including the risk of data tampering and unauthorized modifications. This paper proposes a novel approach that leverages blockchain technology to address these integrity concerns based on intelligent agents. By utilizing the decentralized and transparent nature of blockchain, our method ensures the authenticity and immutability of shared data within the distributed-control intersection network. The paper presents a detailed architecture, highlighting the integration of blockchain into the existing infrastructure, and discusses the benefits of this approach in enhancing data integrity, trust, and overall system reliability. Through a case study and simulation results, the proposed approach demonstrates its effectiveness in maintaining the integrity of shared data, thereby contributing to the advancement of secure and efficient traffic management systems.
Mohamed El Ghazouani, Abdelouafi Ikidid, Charafeddine Ait Zaouiat, Aziz Layla, Mohamed Lachgar and Latifa Er-Rajy, “A Blockchain-based Method Ensuring Integrity of Shared Data in a Distributed-Control Intersection Network” International Journal of Advanced Computer Science and Applications(IJACSA), 14(10), 2023. http://dx.doi.org/10.14569/IJACSA.2023.0141052
@article{Ghazouani2023,
title = {A Blockchain-based Method Ensuring Integrity of Shared Data in a Distributed-Control Intersection Network},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2023.0141052},
url = {http://dx.doi.org/10.14569/IJACSA.2023.0141052},
year = {2023},
publisher = {The Science and Information Organization},
volume = {14},
number = {10},
author = {Mohamed El Ghazouani and Abdelouafi Ikidid and Charafeddine Ait Zaouiat and Aziz Layla and Mohamed Lachgar and Latifa Er-Rajy}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.