Paper Title: PureChain for Secure Vehicular Edge Computing
Conference Name: The Korean Institute of Communications and Information Sciences
Abstract: This paper presents a blockchain-enabled vehicular edge computing system for secure data sharing and intrusion detection. It features a modular design for diverse terrains, blockchain for accountability, and federated learning for data privacy. The system improves scalability, privacy, and security with a simulation-backed Vehicle-to-Vehicle (V2V) communication framework that integrates federated learning, blockchain, and lightweight detection mechanisms. Evaluations with 10, 20, and 30 clients show consistent accuracy above 94% and practical latency-throughput tradeoffs