Securing Internet of Vehicles IoV Communications: A Biometric and Hash-Key Derivation Function HKDF-Based Approach
Hanay Almomani, Ayoub Alsarhan, Mahmoud AlJamal, Mohammad Aljaidi, Tamam Alsarhan, Bashar Khassawneh, Abdelrahman Alfaqih, Ghassan Samara, Manish Kumar Singla
Abstract
In light of advancements in the Internet of Things (IoT), the Internet of Vehicles (IoV) has emerged as a crucial component in developing autonomous vehicles. However, the rapid evolution of this technology has introduced significant security concerns. This paper addresses the growing threat of cyberattacks on autonomous vehicles that utilize wireless communication networks. The proposed model introduces a novel solution to safeguard driver privacy and secure network connections during vehicle operation by employing the driver’s biometric information and Hash-Key Derivation Function (HKDF) (HMAC-based Key Derivation Function) to generate a unique session key. This approach fills a critical research gap by enhancing the security of automated vehicle communication systems vulnerable to various cyber threats. The results demonstrate the effectiveness of the proposed method in creating a robust and unpredictable network key, significantly increasing the difficulty for attackers in compromising the system.