

FOLLOWUS
1.College of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China
2.School of Engineering, Tan Tao University, Duc Hoa, Long An Province, Vietnam
3.Department of Computer Science, University of Alabama, Tuscaloosa, AL 35487, USA
4.College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
[ "Yan-zhe CHE, pomme@zju.edu.cn" ]
Kevin CHIEW, kevin.chiew@ttu.edu.vn
Received:20 September 2012,
Revised:2013-;4-18,
Published:2013-05
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Yan-zhe CHE, Kevin CHIEW, Xiao-yan HONG, et al. EDA: an enhanced dual-active algorithm for location privacy preservation in mobile P2P networks[J]. Frontiers of Information Technology & Electronic Engineering, 2013, 14(5): 356-373.
Yan-zhe CHE, Kevin CHIEW, Xiao-yan HONG, et al. EDA: an enhanced dual-active algorithm for location privacy preservation in mobile P2P networks[J]. Frontiers of Information Technology & Electronic Engineering, 2013, 14(5): 356-373. DOI: 10.1631/jzus.C1200267.
Various solutions have been proposed to enable mobile users to access location-based services while preserving their location privacy. Some of these solutions are based on a centralized architecture with the participation of a trustworthy third party
whereas some other approaches are based on a mobile peer-to-peer (P2P) architecture. The former approaches suffer from the scalability problem when networks grow large
while the latter have to endure either low anonymization success rates or high communication overheads. To address these issues
this paper deals with an enhanced dual-active spatial cloaking algorithm (EDA) for preserving location privacy in mobile P2P networks. The proposed EDA allows mobile users to collect and actively disseminate their location information to other users. Moreover
to deal with the challenging characteristics of mobile P2P networks
e.g.
constrained network resources and user mobility
EDA enables users (1) to perform a negotiation process to minimize the number of duplicate locations to be shared so as to significantly reduce the communication overhead among users
(2) to predict user locations based on the latest available information so as to eliminate the inaccuracy problem introduced by using some out-of-date locations
and (3) to use a latest-record-highest-priority (LRHP) strategy to reduce the probability of broadcasting fewer useful locations. Extensive simulations are conducted for a range of P2P network scenarios to evaluate the performance of EDA in comparison with the existing solutions. Experimental results demonstrate that the proposed EDA can improve the performance in terms of anonymity and service time with minimized communication overhead.
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