Federated Learning-Enabled Secure Blockchain-Based Sharing Framework for Vehicle Ad Hoc Network

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Author(s): Sachin Sharma (Amity University, Mohali, India)
Copyright: 2026
Pages: 30
Source title: Safe Data-Driven Control for Cyber-Physical Systems
Source Author(s)/Editor(s): Adnène Arbi (National Institute of Applied Sciences and Technology, University of Carthage, Tunisia & Laboratory of Mathematical Engineering, Tunisia Polytechnic School, University of Carthage, Tunisia)
DOI: 10.4018/979-8-3373-1832-5.ch007

Keywords: Computer Science & IT / Cyber and Network Security / Information Science Reference / Systems & Software Design

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Abstract

In this chapter, federated learning-enabled Secure Blockchain-based Sharing Framework for Vehicle Ad Hoc Networks (VANETs) coordinating federated learning (FL) and blockchain innovation to form a decentralized, privacy-preserving, and secure stage for vehicular communication and information sharing. This inventive system addresses basic challenges in VANETs, such as information protection, security, and real-time collaboration, by empowering vehicles to collaboratively prepare machine learning models locally utilizing their claim information and safely share overhauls through a tamper-resistant blockchain record. Key points of interest incorporate improved believe, versatility, flexibility to assaults, and compliance with protection controls, making it a promising arrangement for applications like collision avoidance, activity optimization, and independent driving bolster. Be that as it may, challenges such as computational complexity, communication inactivity, information heterogeneity, and security vulnerabilities pose critical hurdles to its usage.

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Federated Learning-Enabled Secure Blockchain-Based Sharing Framework for Vehicle Ad Hoc Network

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