SFVCC: Chaotic map‐based security framework for vehicular cloud computing

Abstract

Vehicular networking is an emerging research area. It enables the vehicles equipped with communication and sensing capacities to communicate vehicle-to-vehicle or with available roadside infrastructure. It has significant applications in terms of information and traffic management and road safety. To make vehicular communication more effective, vehicular cloud computing (VCC) architecture is introduced by utilising vehicular resources, cloud computing infrastructure and internet of things environment. VCC provides a scalable platform to support intelligent transport systems. However, there is a lack of efficient and secure mutual authentication framework in VCC. This study presents a chaotic map-based mutual authentication framework for VCC to ensure secure and efficient communication along with anonymity. The authors use a simulation tool AVISPA ‘Automated Validation of Internet Security Protocols and Applications’ to verify the protocol security against active attacks. The study also includes the proof of security in the random oracle model to justify security claim against known attacks. It presents the study of performance to validate the efficiency of the proposed scheme. Moreover, a comparative study of performance attributes with related schemes to identify the improvement in communication and computation efficiency is included.