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author:

Zhan, Yonghua (Zhan, Yonghua.) [1] | Yang, Yang (Yang, Yang.) [2] | Cheng, Hongju (Cheng, Hongju.) [3] (Scholars:程红举) | Luo, Xiangyang (Luo, Xiangyang.) [4] | Guan, Zhangshuang (Guan, Zhangshuang.) [5] | Deng, Robert H. (Deng, Robert H..) [6]

Indexed by:

EI Scopus SCIE

Abstract:

More vehicles are connecting to the Internet of Things (IoT), transforming Vehicle Ad hoc Networks (VANETs) into the Internet of Vehicles (IoV), providing a more environmentally friendly and safer driving experience. Vehicular announcement networks show promise in vehicular communication applications. However, two major issues arise when establishing such a system. First, user privacy cannot be guaranteed when messages are forwarded anonymously, thus the reliability of these messages is in question. Second, users often lack interest in responding to announcements. To address these problems, we introduce a Blockchain-based incentive announcement system called PIAS. This system enables anonymous message commitment in a semi-trusted environment and encourages witnesses to respond to requests for traffic information. Additionally, PIAS uses blockchain accounts as identities to participate in the system with incentives, ensuring privacy in anonymous announcements. PIAS successfully protects the privacy of participants and motivates witnesses to respond to requests. Furthermore, our assessment of security and compatibility shows that PIAS can maintain privacy and incentivization while being compatible with both the Bitcoin and Ethereum blockchains. Further evaluation has confirmed the system's efficiency in terms of performance.

Keyword:

Authentication Bitcoin blockchain Blockchains fair payment incentive mechanism Internet of Vehicles Internet of Vehicles (IoV) Privacy privacy preservation Protocols Reliability

Community:

  • [ 1 ] [Zhan, Yonghua]Fuzhou Univ, Coll Comp & Data Sci, Fuzhou 350116, Peoples R China
  • [ 2 ] [Yang, Yang]Fuzhou Univ, Coll Comp & Data Sci, Fuzhou 350116, Peoples R China
  • [ 3 ] [Cheng, Hongju]Fuzhou Univ, Coll Comp & Data Sci, Fuzhou 350116, Peoples R China
  • [ 4 ] [Yang, Yang]Singapore Management Univ, Sch Comp & Informat Syst, Singapore 188065, Singapore
  • [ 5 ] [Deng, Robert H.]Singapore Management Univ, Sch Comp & Informat Syst, Singapore 188065, Singapore
  • [ 6 ] [Luo, Xiangyang]State Key Lab Math Engn & Adv Comp, Zhengzhou 450002, Peoples R China
  • [ 7 ] [Guan, Zhangshuang]Zhejiang Univ, Sch Comp Sci & Technol, Hangzhou 310027, Peoples R China

Reprint 's Address:

  • [Yang, Yang]Fuzhou Univ, Coll Comp & Data Sci, Fuzhou 350116, Peoples R China;;

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Source :

IEEE TRANSACTIONS ON SERVICES COMPUTING

ISSN: 1939-1374

Year: 2024

Issue: 5

Volume: 17

Page: 2762-2775

5 . 5 0 0

JCR@2023

Cited Count:

WoS CC Cited Count: 3

SCOPUS Cited Count: 4

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 4

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