Our recent work on “Enhancing Security and Efficiency in Vehicle-to-Sensor Authentication: A Multi-Factor Approach with Cloud Assistance” is now available online. This paper introduces a secure authentication protocol that enables direct communication between CAVs and roadside sensors, addressing a critical gap in existing research focused on vehicle-to-cloud authentication. The proposed multi-factor authentication scheme combines password, biometric, and device-specific factors with Elliptic Curve Cryptography (ECC) and efficient key agreement protocols. A comprehensive adversary model tailored for vehicular networks is presented, along with an in-depth security analysis demonstrating the scheme’s resilience against various threats. The cloud-assisted authentication framework offloads computationally intensive tasks to the cloud server, reducing the burden on resource-constrained Roadside Units (RSUs) and ensuring scalability. Extensive performance evaluations showcase the scheme’s computational efficiency, low communication overhead, and storage costs compared to state-of-the-art solutions, highlighting its practical feasibility and potential for real-world deployment in intelligent transportation systems. This paper was presented at the IEEE 23rd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom 2024). See Publications for more details!
Home / Publication / New Publication: Enhancing Security and Efficiency in Vehicle-to-Sensor Authentication: A Multi-Factor Approach with Cloud Assistance
New Publication: Enhancing Security and Efficiency in Vehicle-to-Sensor Authentication: A Multi-Factor Approach with Cloud Assistance