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MPSL: A Mobile Phone-Based Physical-Social Location Verification System

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7405))

Abstract

In this paper, we introduce a new concept, Physical-Social Location (PSL), and propose MPSL, a mobile phone-based system to verify users’ self-report location claims for mobile social network service (MSNS). Unlike instant discrete location points, PSLs are geographic regions obtained over longer timescales and center around regularly visited locations of social significance, e.g., workplaces or neighborhoods. PSL verification can prevent the user from reporting fake locations, e.g. GPS coordinate, trajectory or geographic profile, to location-sensitive applications as well as aid online credibility in MSNS. In our MPSL system, a user’s location claim is proved by a set of selective co-located people serving as ”witnesses”. It is composed of two parts, i.e., proof generation and verification. The former leverages a certain number of co-located people to generate co-location certificates as location proofs during their physical encounters via Bluetooth. An efficient verification scheme is proposed to make our system accurate and adaptive. Besides, incentive are taken into account to keep our distributed system applicable. We have implemented the MPSL system using real-world Nokia N82 phones. Our experimental results show that our mobile phone based system can achieve high verification accuracy and good privacy protection.

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References

  1. Wang, W., Srinivasan, V., Motani, M.: Adaptive Contact Probing Mechanisms for Delay Tolerant Applications. In: Proc. of ACM MobiCom (2007)

    Google Scholar 

  2. Manweiler, J., Scudellari, R., Cox, L.P.: SMILE: Encounter-Based Trust for Mobile Social Services. In: Proc. of ACM CCS (2009)

    Google Scholar 

  3. Saroiu, S., Wolman, A.: Enabling New Mobile Applications with Location Proofs. In: Proc. of ACM HotMobile (2009)

    Google Scholar 

  4. Karagiannis, T., Boudec, J.L., Vojnovic, M.: Power Law and Exponential Decay of Inter Contact Times between Mobile Devices. In: Proc. of ACM MobiCom (2007)

    Google Scholar 

  5. Luo, W., Hengartner, U.: Proving Your Location Without Giving up Your Privacy. In: Proc. of ACM HotMobile (2010)

    Google Scholar 

  6. Eagle, N., Pentland, A., Lazer, D.: Inferring friendship network structur by using mobile phone data. In: Proc. of PNAS (2009)

    Google Scholar 

  7. Ester, M., Krieger, H., Sander, J., Xu, X.: A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise. In: Proc. ACM KDD (1996)

    Google Scholar 

  8. Lenders, V., Koukoumidis, E., Zhang, P., Martonosi, M.: Location-based Trust for Mobile User-generated Content: Applications, Challenges and Implementations. In: HotMobile (2008)

    Google Scholar 

  9. Gilbert, P., Cox, L.P., Jung, J., Wetherall, D.: Toward Trustworthy Mobile Sensing. In: HotMobile (2010)

    Google Scholar 

  10. Google Latitude, http://www.google.com/latitude/intro.html

  11. Yelp, http://yelp.com/

  12. Foursquare Report Attack, http://blog.foursquare.com/post/503822143/on-foursquare-cheating-and-claiming-mayorships-from

  13. EveryTrail, http://www.everytrail.com/

  14. FakeLocation, http://itunes.apple.com/us/app/fake-location

  15. Foursquare, http://foursquare.com/

  16. GeoLife, http://research.microsoft.com/en-us/downloads/b16d359d-d164-469e-9fd4-daa38f2b2e13/

  17. Yang, Z., Zhang, B., Dai, J., Champion, A., Xuan, D., Li, D.: E-SmallTalker: A Distributed Mobile System for Social Networking in Physical Proximity. In: Proc. of ICDCS (2010)

    Google Scholar 

  18. A-GPS, http://en.wikipedia.org/wiki/Assisted_GPS

  19. Zhu, Z., Cao, G.: APPLAUS: A Privacy-Preserving Location Proof Updating System for Location-based Services. In: Proc. of IEEE INFOCOM (2011)

    Google Scholar 

  20. Capkun, S., Cagalj, M., Karame, G.O., Tippenhauer, N.O.: Integrity Regions: Authentication through Presence in Wireless Networks. IEEE Transactions on Mobile Computing (2010)

    Google Scholar 

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© 2012 Springer-Verlag Berlin Heidelberg

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Ni, X., Luo, J., Zhang, B., Teng, J., Bai, X. (2012). MPSL: A Mobile Phone-Based Physical-Social Location Verification System. In: Wang, X., Zheng, R., Jing, T., Xing, K. (eds) Wireless Algorithms, Systems, and Applications. WASA 2012. Lecture Notes in Computer Science, vol 7405. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31869-6_42

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  • DOI: https://doi.org/10.1007/978-3-642-31869-6_42

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31868-9

  • Online ISBN: 978-3-642-31869-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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