Paper Title:
A Trajectory Privacy Preserving Method in Peer-to-Peer LBS System
  Abstract

The wide application of Location-Based Service (LBS) makes location privacy and trajectory privacy receive much attention in recent years. The basic idea of current privacy preserving methods in LBS is cutting the relationship of user’s consecutive locations. This paper propose LOCMIX, a trajectory privacy protecting method which is based on neighbor node’s forwarding query in a P2P LBS system. Choose the user who have sufficient power to forward queries to LBS as the forwarding node of user u. The forwarding node must be as close to user u as possible. Then the k-Anonymity Spatial Region (k-ASR) was constructed with the forwarding node and the k-1 users whose Hilbert value is less than (or more than) the forwarding node. The experiments show that LOCMIX has good load balancing property and protect trajectory privacy effectively against the “center-of-k-ASR” attack and the correlation attack.

  Info
Periodical
Edited by
Shengyi Li, Yingchun Liu, Rongbo Zhu, Hongguang Li, Wensi Ding
Pages
571-575
DOI
10.4028/www.scientific.net/AMM.34-35.571
Citation
Y. H. Guo, Y. M. Guo, Y. J. Guo, C. M. Wang, "A Trajectory Privacy Preserving Method in Peer-to-Peer LBS System", Applied Mechanics and Materials, Vols. 34-35, pp. 571-575, 2010
Online since
October 2010
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Price
$32.00
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