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- Publisher Website: 10.1109/iThings-GreenCom-CPSCom-SmartData-Cybermatics50389.2020.00026
- Scopus: eid_2-s2.0-85099479793
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Conference Paper: Trusted Anonymous Authentication for Vehicular Cyber-Physical Systems
Title | Trusted Anonymous Authentication for Vehicular Cyber-Physical Systems |
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Authors | |
Keywords | Efficiency Internet-of-Things Security Trusted Anonymous Authentication Vehicular Cyber-Physical Systems |
Issue Date | 2020 |
Citation | Proceedings - IEEE Congress on Cybermatics: 2020 IEEE International Conferences on Internet of Things, iThings 2020, IEEE Green Computing and Communications, GreenCom 2020, IEEE Cyber, Physical and Social Computing, CPSCom 2020 and IEEE Smart Data, SmartData 2020, 2020, p. 37-44 How to Cite? |
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 10× compared to all the state-of-the-art approaches. |
Persistent Identifier | http://hdl.handle.net/10722/336263 |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Zhang, Mingyue | - |
dc.contributor.author | Zhou, Junlong | - |
dc.contributor.author | Cao, Kun | - |
dc.contributor.author | Hu, Shiyan | - |
dc.date.accessioned | 2024-01-15T08:25:00Z | - |
dc.date.available | 2024-01-15T08:25:00Z | - |
dc.date.issued | 2020 | - |
dc.identifier.citation | Proceedings - IEEE Congress on Cybermatics: 2020 IEEE International Conferences on Internet of Things, iThings 2020, IEEE Green Computing and Communications, GreenCom 2020, IEEE Cyber, Physical and Social Computing, CPSCom 2020 and IEEE Smart Data, SmartData 2020, 2020, p. 37-44 | - |
dc.identifier.uri | http://hdl.handle.net/10722/336263 | - |
dc.description.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 10× compared to all the state-of-the-art approaches. | - |
dc.language | eng | - |
dc.relation.ispartof | Proceedings - IEEE Congress on Cybermatics: 2020 IEEE International Conferences on Internet of Things, iThings 2020, IEEE Green Computing and Communications, GreenCom 2020, IEEE Cyber, Physical and Social Computing, CPSCom 2020 and IEEE Smart Data, SmartData 2020 | - |
dc.subject | Efficiency | - |
dc.subject | Internet-of-Things | - |
dc.subject | Security | - |
dc.subject | Trusted Anonymous Authentication | - |
dc.subject | Vehicular Cyber-Physical Systems | - |
dc.title | Trusted Anonymous Authentication for Vehicular Cyber-Physical Systems | - |
dc.type | Conference_Paper | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/iThings-GreenCom-CPSCom-SmartData-Cybermatics50389.2020.00026 | - |
dc.identifier.scopus | eid_2-s2.0-85099479793 | - |
dc.identifier.spage | 37 | - |
dc.identifier.epage | 44 | - |