Treffer: Enhanced VANET Communication: Fractional Order Water Flow Optimization and Secure Communication via Spatial Bayesian Neural Network.

The strategic aim of vehicular ad hoc networks (VANETs) is to ensure efficient service delivery in urban environments, relying on seamless integration and communication among vehicles, sensors, and fixed roadside components. VANET exhibit unique characteristics such as rapid node mobility, self‐organization, dispersed networks, and dynamic topologies. Significant advancements have been made in strengthening security, focusing on improving data integrity, enhancing user privacy, and effectively detecting Sybil attacks, where a single node impersonates multiple entities advancing privacy preservation measures. Existing solutions often fall short in addressing these concerns comprehensively. To tackle these challenges, Enhanced VANET Communication: Fractional Order Water Flow Optimizer and Secure encryption–based Communication through Spatial Bayesian Neural Network (VANET‐SC‐SBNN) is proposed. Initially, the input data are gathered from VeReMi dataset. It uses Localized Sparse Incomplete Multiview Clustering (LSIMC) to group vehicles and identify cluster centres. The Humboldt Squid Optimization Algorithm (HSOA) is employed for selecting cluster heads. The Spatial Bayesian Neural Network (SBNN) is used to identify malicious Cluster Heads (CHs) by extracting useful information from them. Fractional Order Water Flow Optimizer (FOWFO) is used for optimizing the SBNN parameters. The Polymorphic Advanced Encryption Standard (PAES) is adopted to securely transmit data from CHs to the cloud. The proposed VANET‐SC‐SBNN is implemented in Python, and the performance is evaluated under performance metrics such as accuracy, precision, recall, F‐measure, security, and encryption time. The proposed VANET‐SC‐SBNN method achieves 17.17%, 19.52%, and 19.25% higher accuracy; 17.45%, 18.62%, and 24.11% higher precision; and 19.45%, 17.72%, and 18.19% higher F‐measure. The performance of the proposed approach is compared with existing techniques: Floyd‐Warshall algorithm and modified advanced encryption standard for secured communication in VANET (FWA‐SC‐VANET), an effective and physically safe privacy‐preserving key‐agreement protocol for vehicular ad hoc network (PSP‐PKP‐VANET), provably secure conditional‐privacy access control protocol for intelligent customers‐centric communication in vanet (SC‐PCC‐VANET) methods, respectively. [ABSTRACT FROM AUTHOR]

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