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Privacy in Location-Based Services: Present Facts and Future Paths

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Security and Privacy in New Computing Environments (SPNCE 2019)


The usage of Location-Based Services (LBSs) ranges from searching points of interests to location-based social networking. They are present in almost every daily task. Moreover, with smartphone ownership growth, getting one’s location became easier, and the privacy-related issues became almost inescapable. Accordingly, numerous efforts have extensively explored the problem from different perspectives. Many of the existing solutions lack rigorous privacy safeguards and have been foiled by several location attacks. In a nutshell, their shortcomings are mainly due to the heavy dependence on computational privacy models, and the lack of consideration for adaptable protections. We discuss in this paper the current location-based services models, privacy issues, a general overview of the protection mechanisms, and our thoughts about location-privacy in the near future.

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  1. Adelantado, F., Vilajosana, X., Tuset-Peiro, P., Martinez, B., Melia-Segui, J., Watteyne, T.: Understanding the limits of LoRaWAN. IEEE Commun. Mag. 55(9), 34–40 (2017)

    Article  Google Scholar 

  2. Aïmeur, E., Lawani, O., Dalkir, K.: When changing the look of privacy policies affects user trust: an experimental study. Comput. Hum. Behav. 58, 368–379 (2016)

    Article  Google Scholar 

  3. Almuhimedi, H., et al.: Your location has been shared 5,398 times! A field study on mobile app privacy nudging. In: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, pp. 787–796. ACM (2015)

    Google Scholar 

  4. Andrés, M.E., Bordenabe, N.E., Chatzikokolakis, K., Palamidessi, C.: Geo-indistinguishability: differential privacy for location-based systems. In: Proceedings of the 2013 ACM SIGSAC Conference on Computer & Communications Security, pp. 901–914. ACM (2013)

    Google Scholar 

  5. Bettini, C.: Privacy protection in location-based services: a survey. In: Gkoulalas-Divanis, A., Bettini, C. (eds.) Handbook of Mobile Data Privacy, pp. 73–96. Springer, Cham (2018).

    Chapter  Google Scholar 

  6. Clarke, N., Symes, J., Saevanee, H., Furnell, S.: Awareness of mobile device security: a survey of user’s attitudes. Int. J. Mob. Comput. Multimed. Commun. (IJMCMC) 7(1), 15–31 (2016)

    Article  Google Scholar 

  7. De Montjoye, Y.A., Radaelli, L., Singh, V.K., et al.: Unique in the shopping mall: on the reidentifiability of credit card metadata. Science 347(6221), 536–539 (2015)

    Article  Google Scholar 

  8. Domingo-Ferrer, J., Martínez, S., Sánchez, D., Soria-Comas, J.: Co-utility: self-enforcing protocols for the mutual benefit of participants. Eng. Appl. Artif. Intell. 59, 148–158 (2017)

    Article  Google Scholar 

  9. Duckham, M., Kulik, L.: A formal model of obfuscation and negotiation for location privacy. In: Gellersen, H.-W., Want, R., Schmidt, A. (eds.) Pervasive 2005. LNCS, vol. 3468, pp. 152–170. Springer, Heidelberg (2005).

    Chapter  Google Scholar 

  10. Dunning, H., Angus, T., Martin, M.: Quantum compass could allow navigation without relying on satellites, November 2018. Accessed 13 Nov 2018

  11. European GNSS Agency: GNSS market report: location-based services, March 2015. Accessed 25 Nov 2018

  12. Frattasi, S., Della Rosa, F.: Mobile Positioning and Tracking: From Conventional to Cooperative Techniques. Wiley (2017)

    Google Scholar 

  13. Griffin, A.: Google stores location data even when users have told it not to, August 2018. Accessed 13 Nov 2018

  14. Haffner, M., Mathews, A.J., Fekete, E., Finchum, G.A.: Location-based social media behavior and perception: views of university students. Geogr. Rev. 108(2), 203–224 (2018)

    Article  Google Scholar 

  15. Howley, D.: Facebook reveals 50 million accounts affected by security breach, September 2018. Accessed 13 Nov 2018

  16. Kelly, G.: eBay suffers massive security breach, all users must change their passwords, May 2014. Accessed 13 Nov 2018

  17. Kido, H., Yanagisawa, Y., Satoh, T.: An anonymous communication technique using dummies for location-based services. In: Proceedings. International Conference on Pervasive Services, ICPS 2005, pp. 88–97. IEEE (2005)

    Google Scholar 

  18. Larson, S.: Every single Yahoo account was hacked - 3 billion in all, October 2017. Accessed 13 Nov 2018

  19. Li, G.: A new reidentification method for location-based social networks. IEEJ Trans. Electr. Electron. Eng. 14(3), 499–500 (2019)

    Article  Google Scholar 

  20. Olmstead, K., Atkinson, M.: Apps permissions in the Google play store, November 2015. Accessed 25 Nov 2018

  21. Olmsted-Hawala, E., Nichols, E.: Willingness of the public to share geolocation information in a us census bureau survey. Soc. Sci. Comput. Rev. (2018).

  22. Research and Markets: Location-based IoT and geo analytics market outlook and forecasts 2017–2022, April 2017. Accessed 13 Nov 2018

  23. Stewart, E.: Live-tweeting a terrorist attack: how the public’s posts can help in an emergency, April 2016. Accessed 25 Nov 2018

  24. Wang, K., Huang, Y.H., Oramas, J., Van Gool, L., Tuytelaars, T.: An analysis of human-centered geolocation. In: IEEE Winter Conference on Applications of Computer Vision (WACV), pp. 2058–2066. IEEE (2018)

    Google Scholar 

  25. Weyand, T., Kostrikov, I., Philbin, J.: PlaNet - photo geolocation with convolutional neural networks. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9912, pp. 37–55. Springer, Cham (2016).

    Chapter  Google Scholar 

  26. Zheng, X., Han, J., Sun, A.: A survey of location prediction on Twitter. IEEE Trans. Knowl. Data Eng. 30(9), 1652–1671 (2018)

    Article  Google Scholar 

  27. Zickuhr, K.: Location-based services (2013). Accessed 25 Nov 2018

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Correspondence to Zakaria Sahnoune .

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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Sahnoune, Z., Aïmeur, E. (2019). Privacy in Location-Based Services: Present Facts and Future Paths. In: Li, J., Liu, Z., Peng, H. (eds) Security and Privacy in New Computing Environments. SPNCE 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 284. Springer, Cham.

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