Paper Title: Blockchain-Enabled Intrusion Detection System for Distributed Vehicular Networks
Conference Name: KICS FALL 2024
Abstract: Security and privacy are critical in vehicular networks due to their sensitivity and high connectivity. This paper
proposes a novel framework combining blockchain and federated learning to enhance security and intrusion detection. Through smart contracts, blockchain is implemented to manage vehicle participation, ensuring data integrity and immutability while federated learning facilitates collaborative model training without exposing private data. This integrated approach provides a robust security solution, safeguarding vehicular networks against potential threats.