NDLI: A Novel Dummy-Based Mechanism to Protect Privacy on Trajectories

Content Provider	IEEE Xplore Digital Library
Author	Wu, Xichen Sun, Guangzhong
Copyright Year	2014
Abstract	In recent years, wireless communication technologies and accurate positioning devices enable us to enjoy various types of location-based services. However, revealing users location information to potentially untrusted LBS providers is one of the most significant privacy threats in location-based services. The dummy-based privacy-preserving approach is a popular technology that can protect real trajectories from exposing to attackers. Moreover, it does not need a trusted third part, while guaranteeing the quality of service. When user requests a service, dummy trajectories anony mize the real trajectory to satisfy privacy-preserving requirements. In this paper, we propose a new privacy model that includes three reasonable privacy metrics. We also design a new algorithm named adaptive dummy trajectories generation algorithm (ADTGA) to derive uniformly distributed dummy trajectories. Dummy trajectories generated by our algorithm can achieve stricter privacy-preserving requirements based on our privacy model. The experimental results show that our proposed algorithm can use fewer dummy trajectories to satisfy the same privacy-preserving requirement than existing algorithms, and the distribution of dummy trajectories is more uniformly.
Starting Page	1120
Ending Page	1125
File Size	353400
Page Count	6
File Format	PDF
e-ISBN	9781479942749
DOI	10.1109/ICDMW.2014.122
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-12-14
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Measurement Algorithm design and analysis Privacy Adaptation models Trajectory privacy Location-based services Educational institutions Dummy-based anonymization Trajectory
Content Type	Text
Resource Type	Article

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