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author:

Luo, Bin (Luo, Bin.) [1] | Li, Xinghua (Li, Xinghua.) [2] | Liu, Ximeng (Liu, Ximeng.) [3] | Ren, Yanbing (Ren, Yanbing.) [4] | Zhang, Man (Zhang, Man.) [5] | Guo, Jingjing (Guo, Jingjing.) [6] | Choo, Kim-Kwang Raymond (Choo, Kim-Kwang Raymond.) [7]

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EI

Abstract:

Distributed spatial cloaking (DSC) enables users to enjoy precise location-based service (LBS) with location privacy preserving. An incentive mechanism is necessary to encourage users to cooperate. However, due to the inappropriate design of incentive mechanisms, the existing works cause low user benefits and fail to encourage users, ruining the expected incentive effect. Moreover, introducing a third party to manage users' information also causes the existing works to disclose users' privacy and be unpractical. To address these issues, we propose a utility-aware incentive mechanism-based distributed spatial cloaking (RESAT). By the idea of utility theory and optimization theory, RESAT devises basic and extended incentive mechanisms. The two mechanisms for assuming that all users are honest and that malicious users provide unreasonable locations. RESAT proposes an incentive mechanism-based cloaking cooperation without a third party, incorporating the developed mechanisms based on the blind signature. Theoretical analysis indicates that RESAT achieves incentive compatibility and is secure. Extensive experiments on the real data set show that compared with the existing works, RESAT enables 1 time more users to cooperate at best while eliminating the malicious behaviors that provide unreasonable locations. The required DSC construction time delay is limited. © 2014 IEEE.

Keyword:

COVID-19 Internet of things Location Location based services Optimization Privacy-preserving techniques Site selection Telecommunication services

Community:

  • [ 1 ] [Luo, Bin]Xidian University, State Key Laboratory of Integrated Services Networks, The School of Cyber Engineering, Xi'an; 710071, China
  • [ 2 ] [Li, Xinghua]Xidian University, State Key Laboratory of Integrated Services Networks, The School of Cyber Engineering, Xi'an; 710071, China
  • [ 3 ] [Liu, Ximeng]Fuzhou University, College of Mathematics and Computer Science, Fujian; 350108, China
  • [ 4 ] [Ren, Yanbing]Xidian University, State Key Laboratory of Integrated Services Networks, The School of Cyber Engineering, Xi'an; 710071, China
  • [ 5 ] [Zhang, Man]Xidian University, State Key Laboratory of Integrated Services Networks, The School of Cyber Engineering, Xi'an; 710071, China
  • [ 6 ] [Guo, Jingjing]Xidian University, State Key Laboratory of Integrated Services Networks, The School of Cyber Engineering, Xi'an; 710071, China
  • [ 7 ] [Choo, Kim-Kwang Raymond]University of Texas at San Antonio, Department of Information Systems and Cyber Security, Department of Electrical and Computer Engineering, San Antonio; TX; 78249, United States

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Source :

IEEE Internet of Things Journal

Year: 2022

Issue: 22

Volume: 9

Page: 23201-23214

1 0 . 6

JCR@2022

8 . 2 0 0

JCR@2023

ESI HC Threshold:61

JCR Journal Grade:1

CAS Journal Grade:1

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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