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author:

Zhan, Yonghua (Zhan, Yonghua.) [1] | Xie, Weipeng (Xie, Weipeng.) [2] | Shi, Rui (Shi, Rui.) [3] | Huang, Yunhu (Huang, Yunhu.) [4] | Zheng, Xianghan (Zheng, Xianghan.) [5]

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EI

Abstract:

Secure group communication in Vehicle Ad hoc Networks (VANETs) over open channels remains a challenging task. To enable secure group communications with conditional privacy, it is necessary to establish a secure session using Authenticated Key Agreement (AKA). However, existing AKAs suffer from problems such as cross-domain dynamic group session key negotiation and heavy computational burdens on the Trusted Authority (TA) and vehicles. To address these challenges, we propose a dynamic privacy-preserving anonymous authentication scheme for condition matching in fog-cloud-based VANETs. The scheme employs general Elliptic Curve Cryptosystem (ECC) technology and fog-cloud computing methods to decrease computational overhead for On-Board Units (OBUs) and supports multiple TAs for improved service quality and robustness. Furthermore, certificateless technology alleviates TAs of key management burdens. The security analysis indicates that our solution satisfies the communication security and privacy requirements. Experimental simulations verify that our method achieves optimal overall performance with lower computational costs and smaller communication overhead compared to state-of-the-art solutions. © 2024 by the authors.

Keyword:

Authentication Fog Fog computing Network security Privacy-preserving techniques Vehicle to vehicle communications Vehicular ad hoc networks

Community:

  • [ 1 ] [Zhan, Yonghua]College of Computer and Data Science, Fuzhou University, Fuzhou; 350108, China
  • [ 2 ] [Xie, Weipeng]College of Computer and Data Science, Fuzhou University, Fuzhou; 350108, China
  • [ 3 ] [Shi, Rui]Beijing Electronic Science and Technology Institute, Beijing; 100070, China
  • [ 4 ] [Huang, Yunhu]Computer and Data Science, Minjiang University, Fuzhou; 350108, China
  • [ 5 ] [Zheng, Xianghan]College of Computer and Data Science, Fuzhou University, Fuzhou; 350108, China

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Source :

Sensors

Year: 2024

Issue: 6

Volume: 24

3 . 4 0 0

JCR@2023

CAS Journal Grade:3

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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