A Blockchain-Assisted Trusted Clustering Mechanism for IoT-Enabled Smart Transportation System

Awan, Kamran Ahmad; Din, Ikram Ud; Almogren, Ahmad

doi:10.3390/su142214889

Cited by 13 publications

(6 citation statements)

References 38 publications

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“…In this section, the experimental validation of the BQMFO-CSSTS technique takes place, with consideration given to various aspects, such as the varying number of nodes n, transmission range r, and speed limit v. The proposed model was simulated using the NS3 tool. The existing models [29] In Table 1 and Figure 2, the average cluster head lifetime (ACHL) results of the BQMFO-CSSTS technique are compared to those of recent models with varying r and v values [29]. The results indicate that the BQMFO-CSSTS technique identifies improved values of ACHL that are superior to those of other models.…”

Section: Performance Validationmentioning

confidence: 99%

Blockchain with Quantum Mayfly Optimization-Based Clustering Scheme for Secure and Smart Transport Systems

Alamro,

Alqahtani,

Alruwaili

et al. 2023

Sustainability

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Blockchain (BC) with a clustering scheme can be used to build secure and smart Vehicular Ad-Hoc Networks (VANETs), which provide improved data integrity, enhanced security, efficient resource allocation, and streamlined processes. This technology has revolutionized the transport industry by enabling safer, more efficient, and transparent transportation networks. Therefore, this paper concentrates on the design of a new Blockchain with a Quantum Mayfly Optimization-based Clustering Scheme for Secure and Smart Transport Systems (BQMFO-CSSTS) technique. The objective of the presented BQMFO-CSSTS technique is to build a secure VANET via a BC-based technology and clustering process. Moreover, the BQMFO-CSSTS technique initially uses a Quantum Mayfly Optimization (QMFO) system with a fitness function for the selection of cluster heads (CHs) and the cluster construction process. In addition, BC technology is used as trust infrastructure to provide trustworthy services to the user and protect the privacy of the CHs and cluster members (CMs). The proposed scheme leverages the decentralized and immutable nature of BC to establish trust and ensure the integrity of cluster formation in VANETs. Finally, the BQMFO-CSSTS technique uses trajectory similarity metrics to protect the integrity of the CMs against attacks. The simulation results of the BQMFO-CSSTS technique are validated using a series of measures. The comprehensive results reported the superior outcomes of the BQMFO-CSSTS method over other recent approaches, with the maximum throughput being 1644.52 kbps. Therefore, integration of BC technology provides a transparent and secure framework through which to manage cluster membership, data sharing, and trust establishment among vehicles.

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Section: Performance Validationmentioning

confidence: 99%

Blockchain with Quantum Mayfly Optimization-Based Clustering Scheme for Secure and Smart Transport Systems

Alamro,

Alqahtani,

Alruwaili

et al. 2023

Sustainability

View full text Add to dashboard Cite

show abstract

“…V2V communications open up many new channels for traffic surveillance because of their high accuracy as well as real-time traffic congestion detection function. Authors [7] introduced a Voronoi diagram-and information-based V2V system that takes traffic congestion into account. Similar to this, a different approach has been suggested in literature to locate, assess, and classify traffic congestion in a certain area of Beijing, China [8].…”

Section: Literature Reviewmentioning

confidence: 99%

AI-Based Efficient Wireless Technologies and Infrastructure-Based Networks With VANET For Smart Transportation High Performance

Xiong¹,

Li²,

Hou³

et al. 2023

Preprint

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VANETs (Vehicular Ad-hoc NETworks) were deemed most suitable communication network for supporting the dissemination of alert messages due to their low dissemination delays as well as extensive vehicle coverage in vicinity of an emergency. With the introduction of cooperative ITS services, it is envisaged that emerging vehicular networks will progressively rely on Vehicle to Infrastructure (V2I) communication lines, which are expected to be nominally accessible with certain temporary as well as time-limited connectivity losses. This study proposes a novel method for VANET-based efficient vehicle clustering and routing based on network infrastructure for high-performance smart transportation. the vehicle clustering using infrastructure-based fuzzy K-means convolutional neural networks. then the energy-efficient cluster-based multi-hop distributed routing. the experimental analysis in terms of latency, network lifetime, throughput, QoS, energy efficiency, and packet delivery ratio. In addition, empirical equations that can be used to predict speed recommendations for drivers are derived from the result.

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“…Based on proxy resignature cryptographic technology [61], the node requests the re-signature key and then re-signs the certificates issued by the TA. A Blockchain-based authentication and revocation solution is proposed in [62] [63] to allow RSUs to verify the identity of a vehicle. For each vehicle, a pseudo-ID is obtained from the certification authority and then stored with the certificate in an immutable authentication Blockchain The authors of [64] introduced architectures and protocols for authentication in vehicular networks as well as the corresponding performance analysis.…”

Section: Security Issues Of Vanetsmentioning

confidence: 99%

Toward the Design of an Efficient and Secure System Based on the Software-Defined Network Paradigm for Vehicular Networks

Alaya

Sellami

2023

IEEE Access

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The advent of Intelligent Transport Systems (ITS) has led to the appearance of vehicles increasingly connected to their environment on global road networks. Due to the strict requirements for low latency and secure interactions in a vehicular environment, the proposal of new architectures is a crucial topic for discussion. This paper aims to develop a vehicular network using several access technologies based on SDN (Software Defined Network) paradigm, to take advantage of the capacities of the various access networks and provide flexibility in their control and management. Confidentiality, integrity, and authentication are essential services to prevent an adversary from compromising the security of vehicular networks. Therefore, good security and privacy management system is necessary to ensure this protection. We represent then a hybrid SDN-VANET architecture that can address all of the challenges we mentioned earlier. We are in the process of implementing a dynamic approach to optimize the positioning of controllers according to changes in network topology due to fluctuations in road traffic. We will also detail the topology estimation service based on machine learning techniques to provide network control functions with potential insight into the future state of the network, unlocking proactive and intelligent network control. We also provide a scheme that prevents and informs about basic and compound attacks and reacts to the privacy and security conditions of the vehicular network, managing the requirements of security management systems. The simulation results showed the effectiveness of the proposed schemes in terms of message loss rates, packet delivery rates (PDR), Round Trip Time (RTT), and delays. With used our scheme, the performance of the network is improved when SDN triggers the change of the RSU entity. Such as, we notice that the average RTT is lowered by 68 ms and that the PDR remains around 94%. We also notice with the integration of the security and privacy scheme (SPS) that the performance of the network is improved, the average RTT is reduced by 51 ms and the PDR persists around 99%.

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A Blockchain-Assisted Trusted Clustering Mechanism for IoT-Enabled Smart Transportation System

Cited by 13 publications

References 38 publications

Blockchain with Quantum Mayfly Optimization-Based Clustering Scheme for Secure and Smart Transport Systems

Blockchain with Quantum Mayfly Optimization-Based Clustering Scheme for Secure and Smart Transport Systems

AI-Based Efficient Wireless Technologies and Infrastructure-Based Networks With VANET For Smart Transportation High Performance

Toward the Design of an Efficient and Secure System Based on the Software-Defined Network Paradigm for Vehicular Networks

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