A Collaboration-Based Scheme for Location-Based Services with Incentive Mechanism

WAN Sheng; HUA Jiafeng; ZHU Hui; WANG Hanyi; LI Fenghua

doi:10.1049/cje.2017.12.001

Volume 27 Issue 2

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WAN Sheng, HUA Jiafeng, ZHU Hui, et al., “A Collaboration-Based Scheme for Location-Based Services with Incentive Mechanism,” Chinese Journal of Electronics, vol. 27, no. 2, pp. 310-317, 2018, doi: 10.1049/cje.2017.12.001

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WAN Sheng, HUA Jiafeng, ZHU Hui, et al., “A Collaboration-Based Scheme for Location-Based Services with Incentive Mechanism,” Chinese Journal of Electronics, vol. 27, no. 2, pp. 310-317, 2018, doi: 10.1049/cje.2017.12.001

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A Collaboration-Based Scheme for Location-Based Services with Incentive Mechanism

doi: 10.1049/cje.2017.12.001

1.
State Key Laboratory of Integrated Services Networks, Xidian University, Xi'an 710071, China;
2.
State Key Laboratory of Information Security, Institute of Information Engineering, Chinese Academy of Sciences, Beijing 100093, China;
3.
School of Cyber Security, University of Chinese Academy of Sciences, Beijing 100049, China

Funds: This work is supported by the National Natural Science Foundation of China-Guangdong Joint Fund (No.U1401251), the National High Technology R&D Program of China ("863" Project) (No.2015AA016007), and the National Natural Science Foundation of China-Young Scientists Fund (No.61502489).

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Corresponding author: LI Fenghua (corresponding author) received his B.S. degree in Computer Software, M.S. and Ph.D. degrees in Computer Systems Architecture from Xidian University in 1987, 1990 and 2009 respectively. Currently, he is working as professor and doctoral supervisor in State Key Laboratory of Information Security, Institute of Information Engineering, Chinese Academy of Sciences. He is also a doctoral supervisor in Xidian University. His current research interests include network security, system security, privacy computing and trusted computing. (E-mail:lfh@iie.ac.cn)
Received Date: 2017-04-13
Rev Recd Date: 2017-08-30
Publish Date: 2018-03-10

Abstract

Abstract

With the proliferation of communication networks and mobile devices, Location-based services (LBSs) have brought a variety of applications and conveniences in our daily life. While LBSs greatly benefit users, they bring significant threats to users' privacy. To enhance privacy protection for LBSs, a well-used technique is to establish a collaborative group which helps each other to avoid privacy leakage. Due to extremely unbalanced system overheads for group members, many users are short of intrinsic motivations to join the collaborative group in existing schemes. To address this problem, we propose a collaborative group system combined with dummy selection technique, termed CGS-DS, which not only limits mobile users consuming significant resources in collaborative group through the hop distance, but also inspires them to generate and cache the service data of dummies for other group members. Our CGS-DS uses a threshold assignment module to generate a suitable threshold of the hop distance. While the hop distance reaches the specified threshold, the user executes the dummy-cache module to generate some dummy queries and cache the service data for other members to use. Security analysis and evaluation results indicate its effectiveness and efficiency.
- Location-based services (LBSs),
- Privacy protection,
- Location privacy,
- Collaborative group

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References(26)

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