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Location Privacy Leakage through Sensory Data
Joint Authors
Li, Yingshu
Liang, Yi
Cai, Zhipeng
Han, Qilong
Source
Security and Communication Networks
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-08-06
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Information Technology and Computer Science
Abstract EN
Mobile devices bring benefits as well as the risk of exposing users’ location information, as some embedded sensors can be accessed without users’ permission and awareness.
In this paper, we show that, only by using the data collected from the embedded sensors in mobile devices instead of GPS data, we can infer a user’s location information with high accuracy.
Three issues are addressed which are route identification, user localization in a specific route, and user localization in a bounded area.
The Dynamic Time Warping based technique is designed and we develop a Hidden Markov Model to solve the localization problem.
Real experiments are performed to evaluate our proposed methods.
American Psychological Association (APA)
Liang, Yi& Cai, Zhipeng& Han, Qilong& Li, Yingshu. 2017. Location Privacy Leakage through Sensory Data. Security and Communication Networks،Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1203117
Modern Language Association (MLA)
Liang, Yi…[et al.]. Location Privacy Leakage through Sensory Data. Security and Communication Networks No. 2017 (2017), pp.1-12.
https://search.emarefa.net/detail/BIM-1203117
American Medical Association (AMA)
Liang, Yi& Cai, Zhipeng& Han, Qilong& Li, Yingshu. Location Privacy Leakage through Sensory Data. Security and Communication Networks. 2017. Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1203117
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1203117