A Mechanism to Improve Effectiveness and Privacy Preservation for Review Publication in LBS

Guangcan Yang; Shoushan Luo; Hongliang Zhu; Yang Xin; Ke Xiao; Yuling Chen; Mingzhen Li; Yunfeng Wang

doi:10.1109/ACCESS.2019.2949452

IEEE Access (Jan 2019)

A Mechanism to Improve Effectiveness and Privacy Preservation for Review Publication in LBS

Guangcan Yang,
Shoushan Luo,
Hongliang Zhu,
Yang Xin,
Ke Xiao,
Yuling Chen,
Mingzhen Li,
Yunfeng Wang

Affiliations

Guangcan Yang: ORCiD; National Engineering Laboratory for Disaster Backup and Recovery, Information Security Center, School of Cyberspace Security, Beijing University of Posts and Telecommunications, Beijing, China
Shoushan Luo: National Engineering Laboratory for Disaster Backup and Recovery, Information Security Center, School of Cyberspace Security, Beijing University of Posts and Telecommunications, Beijing, China
Hongliang Zhu: ORCiD; National Engineering Laboratory for Disaster Backup and Recovery, Information Security Center, School of Cyberspace Security, Beijing University of Posts and Telecommunications, Beijing, China
Yang Xin: National Engineering Laboratory for Disaster Backup and Recovery, Information Security Center, School of Cyberspace Security, Beijing University of Posts and Telecommunications, Beijing, China
Ke Xiao: ORCiD; School of Information Technology, North China University of Technology, Beijing, China
Yuling Chen: ORCiD; State Key Laboratory of Public Big Data, GuiZhou University, Guiyang, China
Mingzhen Li: ORCiD; National Engineering Laboratory for Disaster Backup and Recovery, Information Security Center, School of Cyberspace Security, Beijing University of Posts and Telecommunications, Beijing, China
Yunfeng Wang: National Engineering Laboratory for Disaster Backup and Recovery, Information Security Center, School of Cyberspace Security, Beijing University of Posts and Telecommunications, Beijing, China

DOI: https://doi.org/10.1109/ACCESS.2019.2949452
Journal volume & issue: Vol. 7
pp. 156659 – 156674

Abstract

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Local business service systems (LBSS), as an essential role of location-based service (LBS), have been gaining tremendous popularity in our daily life. Individuals' reviews in these systems are very important as they not only contribute to building reputations for businesses but also play a guiding role for consumers. However, users' privacy disclosure and the effectiveness of reviews are the urgent problems to be solved for the further development of LBSS. This paper proposes a mechanism to improve effectiveness and privacy preservation for review publication. In users' privacy protection, the mechanism firstly formalizes the model of attackers, then focuses on the identification or inference attack caused by reviews. For improving the effectiveness of reviews, the mechanism introduces users' reputation scores to rank the reviews. We evaluate our mechanism thoroughly by extensive experiments, and the results validate that our mechanism can achieve a better performance.

Published in IEEE Access

ISSN: 2169-3536 (Online)
Publisher: IEEE
Country of publisher: United States
LCC subjects: Technology: Electrical engineering. Electronics. Nuclear engineering
Website: https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6287639

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