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[期刊论文]

RESAT: A Utility-Aware Incentive Mechanism-Based Distributed Spatial Cloaking

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author:

Luo, Bin (Luo, Bin.) [1] | Li, Xinghua (Li, Xinghua.) [2] | Liu, Ximeng (Liu, Ximeng.) [3] (Scholars:刘西蒙) | Unfold

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EI Scopus SCIE

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.

Keyword:

Behavioral sciences Cooperation Costs COVID-19 Delay effects distributed spatial cloaking (DSC) effective incentive Internet of Things Location awareness Optimization Privacy Public key utility aware Utility theory

Community:

  • [ 1 ] [Luo, Bin]Xidian Univ, State Key Lab Integrated Serv Networks, Xian 710071, Peoples R China
  • [ 2 ] [Li, Xinghua]Xidian Univ, State Key Lab Integrated Serv Networks, Xian 710071, Peoples R China
  • [ 3 ] [Ren, Yanbing]Xidian Univ, State Key Lab Integrated Serv Networks, Xian 710071, Peoples R China
  • [ 4 ] [Zhang, Man]Xidian Univ, State Key Lab Integrated Serv Networks, Xian 710071, Peoples R China
  • [ 5 ] [Guo, Jingjing]Xidian Univ, State Key Lab Integrated Serv Networks, Xian 710071, Peoples R China
  • [ 6 ] [Luo, Bin]Xidian Univ, Sch Cyber Engn, Xian 710071, Peoples R China
  • [ 7 ] [Li, Xinghua]Xidian Univ, Sch Cyber Engn, Xian 710071, Peoples R China
  • [ 8 ] [Ren, Yanbing]Xidian Univ, Sch Cyber Engn, Xian 710071, Peoples R China
  • [ 9 ] [Zhang, Man]Xidian Univ, Sch Cyber Engn, Xian 710071, Peoples R China
  • [ 10 ] [Guo, Jingjing]Xidian Univ, Sch Cyber Engn, Xian 710071, Peoples R China
  • [ 11 ] [Liu, Ximeng]Fuzhou Univ, Coll Math & Comp Sci, Fuzhou 350108, Fujian, Peoples R China
  • [ 12 ] [Choo, Kim-Kwang Raymond]Univ Texas San Antonio, Dept Informat Syst & Cyber Secur, San Antonio, TX 78249 USA
  • [ 13 ] [Choo, Kim-Kwang Raymond]Univ Texas San Antonio, Dept Elect & Comp Engn, San Antonio, TX 78249 USA

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Source :

IEEE INTERNET OF THINGS JOURNAL

ISSN: 2327-4662

Year: 2022

Issue: 22

Volume: 9

Page: 23201-23214

1 0 . 6

JCR@2022

8 . 2 0 0

JCR@2023

ESI Discipline: COMPUTER SCIENCE;

ESI HC Threshold:61

JCR Journal Grade:1

CAS Journal Grade:1

Cited Count:

WoS CC Cited Count:

30 Days PV: 0

操作日志

管理员  2022-12-28 20:00:38  追加

管理员  2022-12-05 14:04:07  创建

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