Efficient scheme for user's trajectory privacy

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As one of the most important information in location-based services (LBS),the trajectory privacy for smart devices users has gained increasingly popularity over recent years.To address this problem,(k−1) dummy trajectories to achieve trajectory k-anonymity with comprehensively considering side infor...

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Bibliographic Details
Published in:Tongxin xuebao
Main Authors: Feng-hua LI, Cui ZHANG, Ben NIU, Hui LI, Jia-feng HUA, Guo-zhen SHI
Format: Article
Language:Chinese
Published: Editorial Department of Journal on Communications 2015-12-01
Subjects:
wireless network security;location-based services;location privacy;trajectory privacy
Online Access:http://www.joconline.com.cn/thesisDetails#10.11959/j.issn.1000-436x.2015320
Description
Summary:As one of the most important information in location-based services (LBS),the trajectory privacy for smart devices users has gained increasingly popularity over recent years.To address this problem,(k−1) dummy trajectories to achieve trajectory k-anonymity with comprehensively considering side information were generated,user's mobility pattern and the trajectory similarity etc.Without relying on the trusted third party,the scheme could provide trajectory k-anonymity against adversaries with side information by generating (k−1) realistic dummy trajectories.The evaluation results indicate its effectiveness and efficiency.
ISSN:1000-436X

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