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POSTER: LocMask: A Location Privacy Protection Framework in Android System

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Published:03 November 2014Publication History

ABSTRACT

The mobile users are facing a serious risk of losing location privacy (e.g., users' location information transmitted by open advertisement network, and the reported event of involuntary tracking of mobile users in popular mobile social apps). In this study, we design and implement LocMask, a system-level solution that provides location privacy protection in Android system. LocMask achieves the tradeoff of the privacy and the utility of location based services by providing the Quality of Protection (QoP) on demand, which sets different privacy protection levels to different locations based on how sensitive these locations are. Motivated by the fact that Top locations (e.g, user's home or office) are more sensitive than less visiting locations, LocMask provides location profile management module that records the user's mobility history and ranks the locations in terms of the user's visiting frequency. With users' location profiles, LocMask can automatically determines the sensitiveness of these locations as well as their corresponding privacy protection level. LocMask is also designed to incorporate various obfuscation techniques. The effectiveness of LocMask is supported by extensive real-world data based evaluations.

References

  1. C. A. Ardagna, M. Cremonini, S. De Capitani di Vimercati, and P. Samarati. An obfuscation-based approach for protecting location privacy. Dependable and Secure Computing, IEEE Transactions on, 8(1):13--27, 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Y.-A. de Montjoye, C. A. Hidalgo, M. Verleysen, and V. D. Blondel. Unique in the crowd: The privacy bounds of human mobility. 3, 2013.Google ScholarGoogle Scholar
  3. M. C. Grace, W. Zhou, X. Jiang, and A.-R. Sadeghi. Unsafe exposure analysis of mobile in-app advertisements. In Proceedings of the fifth ACM conference on Security and Privacy in Wireless and Mobile Networks, page 101--112, 2012. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. M. Li, H. Zhu, Z. Gao, S. Chen, K. Ren, L. Yu, and S. Hu. All your location are belong to us: Breaking mobile social networks for automated user location tracking. In MobiHoc, 2014. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. B. Schilit, J. Hong, and M. Gruteser. Wireless location privacy protection. Computer, 36(12):135--137, 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. R. Stevens, C. Gibler, J. Crussell, J. Erickson, and H. Chen. Investigating user privacy in android ad libraries. In Workshop on Mobile Security Technologies (MoST), 2012.Google ScholarGoogle Scholar

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  1. POSTER: LocMask: A Location Privacy Protection Framework in Android System

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    • Published in

      cover image ACM Conferences
      CCS '14: Proceedings of the 2014 ACM SIGSAC Conference on Computer and Communications Security
      November 2014
      1592 pages
      ISBN:9781450329576
      DOI:10.1145/2660267

      Copyright © 2014 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 3 November 2014

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