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author:

Zhang, Junwei (Zhang, Junwei.) [1] | Yang, Fan (Yang, Fan.) [2] | Ma, Zhuo (Ma, Zhuo.) [3] | Wang, Zhuzhu (Wang, Zhuzhu.) [4] | Liu, Ximeng (Liu, Ximeng.) [5] (Scholars:刘西蒙) | Ma, Jianfeng (Ma, Jianfeng.) [6]

Indexed by:

EI SCIE

Abstract:

With the rapid development of Internet of Vehicles (IoV), vehicle-based spatial crowdsourcing (SC) applications have been proposed and widely applied to various fields. However, location privacy leakage is a serious issue in spatial crowdsourcing because workers who participate in a crowdsourcing task are required to upload their driving locations. In this paper, we propose a decentralized location privacy-preserving SC for IoV, which allows vehicle users to securely participate in SC with ensuring the task's location policy privacy and providing multi-level privacy preservation for workers' locations. Specifically, we introduce blockchain technology into SC, which can eliminate the control of vehicle user data by SC-server. We combine the additively homomorphic encryption and circle-based location verification to ensure the confidentiality of task's location policy. To achieve multi-level privacy preservation for workers' driving locations, we only reveal a grid where workers are located in. The size of the grid represents the level of privacy preservation. We leverage the order-preserving encryption and non-interactive zero-knowledge proof to prevent workers from illegally obtaining rewards by forging their driving locations. The security analysis results show that our framework can satisfy the above requirements. In addition, the experiment results demonstrate that our framework is efficient and feasible in practice.

Keyword:

blockchain Crowdsourcing Data privacy Encryption Internet of Vehicles location privacy multi-level privacy-preserving Privacy spatial crowdsourcing Task analysis

Community:

  • [ 1 ] [Zhang, Junwei]Xidian Univ, Sch Cyber Engn, Xian 710071, Peoples R China
  • [ 2 ] [Yang, Fan]Xidian Univ, Sch Cyber Engn, Xian 710071, Peoples R China
  • [ 3 ] [Ma, Zhuo]Xidian Univ, Sch Cyber Engn, Xian 710071, Peoples R China
  • [ 4 ] [Wang, Zhuzhu]Xidian Univ, Sch Cyber Engn, Xian 710071, Peoples R China
  • [ 5 ] [Ma, Jianfeng]Xidian Univ, Sch Cyber Engn, Xian 710071, Peoples R China
  • [ 6 ] [Liu, Ximeng]Fuzhou Univ, Coll Math & Comp Sci, Fuzhou 350108, Peoples R China
  • [ 7 ] [Liu, Ximeng]Fuzhou Univ, Key Lab Informat Secur Network Syst, Fuzhou 350108, Peoples R China

Reprint 's Address:

  • [Ma, Zhuo]Xidian Univ, Sch Cyber Engn, Xian 710071, Peoples R China

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Source :

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

ISSN: 1524-9050

Year: 2021

Issue: 4

Volume: 22

Page: 2299-2313

9 . 5 5 1

JCR@2021

7 . 9 0 0

JCR@2023

ESI Discipline: ENGINEERING;

ESI HC Threshold:105

JCR Journal Grade:1

CAS Journal Grade:1

Cited Count:

WoS CC Cited Count: 49

SCOPUS Cited Count: 65

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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