| Title | Trusted Anonymous Authentication For Vehicular Cyber-Physical Systems |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Zhang, Mingyue, Zhou, Junlong, Cao, Kun, Hu, Shiyan |
| Conference Name | 2020 International Conferences on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics) |
| Keywords | anonymous messaging, authentication, Cameras, cloud computing, Databases, efficiency, Forensics, Internet-of-Things, privacy, pubcrawl, resilience, Resiliency, security, Trusted Anonymous Authentication, Vehicular Cyber-Physical Systems |
| Abstract | In vehicular cyber-physical systems, the mounted cameras on the vehicles, together with the fixed roadside cameras, can produce pictorial data for multiple purposes. In this process, ensuring the security and privacy of vehicles while guaranteeing efficient data transmission among vehicles is critical. This motivates us to propose a trusted anonymous authentication scheme for vehicular cyber-physical systems and Internet-of-Things. Our scheme is designed based on a three-tier architecture which contains cloud layer, fog layer, and user layer. It utilizes bilinear-free certificateless signcryption to realize a secure and trusted anonymous authentication efficiently. We verify its effectiveness through theoretical analyses in terms of correctness, security, and efficiency. Furthermore, our simulation results demonstrate that the communication overhead, the computation overhead, and the packet loss rate of the proposed scheme are significantly better than those of the state-of-the-art techniques. Particularly, the proposed scheme can speed up the computation process at least 10x compared to all the state-of-the-art approaches. |
| DOI | 10.1109/iThings-GreenCom-CPSCom-SmartData-Cybermatics50389.2020.00026 |
| Citation Key | zhang_trusted_2020 |
Trusted Anonymous Authentication For Vehicular Cyber-Physical Systems