VANET is an emerging platform that enables the inter-communication between the vehicles on-road to exchange control and data messages which can be used to take decisive actions to improve user applications such as congestion and traffic monitoring, secure messaging, and general-purpose Internet connectivity. It does not have a fixed infrastructure and uses wireless, multi-hop communication channels with nodes. The main bottlenecks in implementing a rigid security protocol in VANET applications are the absence of coordinated transmission and the fixed network topology in the VANET. The wireless medium requires various safety applications for the passengers. The availability of the pervasive computing infrastructure paves various paths for security vulnerability. Data security is a concern not only in the vehicular network but also in almost all networked systems, especially wireless networks. The network is vulnerable to compromising key pointers in the system such as confidentiality, integrity, authenticity, and privacy (CIAP). Compromising the CIAP parameters will provide access to any level of control over the network. The paper introduced a secure robust framework to establish the network and enable data communication in VANET using an enhanced RSA algorithm for ESM (Enhanced Security Module) model. The optimized LEACH cluster-based routing algorithm is also used to reduce energy consumption as well as to enhance the security of the data.
The VANET has seen a boom in the distribution of significant source data,enabling connected vehicle communications to enhance roadway safety.Despite the potential for interesting applications invehicle networks,thereare still unresolved issues that have the potential to hinder bandwidth utilization once deployed. Specifically, insider assaults on VANET platforms such as Blackhole attemptscan completely stop vehicle-to-vehicle communications and impair the networks' performance level. In this study, we provide the blockchain-based decentralized trust scoring architecture for the participants in the network to identify existing and blacklisted insider adversaries in VANET. To address this concern, we suggest a two-level detection technique, in the first level neighboring nodes determine theirtrustworthiness and in the second level it aggregates trust scores for vehicle nodes using a consortium blockchain-based mechanism that uses authorized Road Side Units (RSUs) as consensus mechanism. The blacklisted node records are then periodically changed based on the trust scores supplied by the nearby nodes. In regards to the practical scope of the network, the experimental study demonstrates that the suggested solution is effective and sustainable. To improve packet delivery ratio and vehicle node security in the VANET, the blockchain-based Trust-LEACH routing technique has also been created. The performance analysis has been carried out for Computational cost analysis, Computational time for block creation, Network analysis, SecurityAnalysis, and MITM attack analysis. Additionally, we provide proof that the suggested approach enhances VANET reliability by thwarting and removing insider threat initiation nodes from its blacklist.
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