Intelligent Garlic Routing for Securing Data Exchange in V2X Communication
Nilesh Kumar Jadav, Rajesh Gupta, Sudeep Tanwar, Pronaya Bhattacharya · 2022 IEEE Globecom Workshops (GC Wkshps) · 2022
The rise of the Internet of Things (IoT) has transformed the conventional vehicular network into smart vehicular communication, such as vehicle-to-vehicle, vehicle-to-pedestrians, and vehicle-to-infrastructure that are categorized under the umbrella of vehicle-to-everything (V2X) ecosystem. It offers colossal applications for road safety, such as hazard warning, intersection assistance, and vehicle prioritization by sharing vehicular data between different entities of the V2X systems. However, V2X communication is imperiled by various security vulnerabilities, such as man-in-the-middle, data injection, and session hijacking attacks that jeopardize the data exchange of V2X communication. To respond to the aforementioned security issues, we proposed an artificial intelligence (AI) and garlic routing (Gr)-based secure and intelligent architecture that improves the security enhancements of the V2X systems. First, AI-based classifiers are employed to efficiently classify the attack and non-attack data of the V2X communication. Further, the Grnetwork is adopted to process the non-attack data and offers ElGamal + advanced encryption standard (AES)-based encryption to secure the vehicular data. To further improvise the Grnetwork, each gateway of Gris associated with the blockchain technology for secure storage. The performance of the proposed architecture is evaluated by considering different performance metrics, such as accuracy, scalability, and probability of data compromisation rate. The results show that the random forest (RF) outperforms in classifying data by achieving 98.2% accuracy. Further, with blockchain technology, the probability of data compromisation rate decreases, i.e., 14.3% and increases the scalability, i.e., 52.63% of the proposed architecture.