Abstract
Active use of geolocation tracking in AI-enabled applications demands to have an understandable and robust privacy policy implemented along with these services. Many already deployed policies may lack important statements to achieve this robustness, and some are too cumbersome for the end users to understand. A privacy policy template has been proposed in this research which is intelligible to the privacy policy developers and end-users. It includes all typical information which a policy should have. Based on this template, two sample privacy policies also have been proposed. The aim of presented project was to help developers make policies that will protect the organization from potential liabilities and help users understand how their data are being collected, stored, and processed in simpler words.
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References
Estes, B.: Geolocation—the risk and benefits of a trending technology. ISACA J. 5, 1–6 (2016)
Gray, S.: A closer look at location data: privacy and pandemics, 17 December 2020. https://fpf.org/blog/a-closer-look-at-location-data-privacy-and-pandemics/
Nicole, O.: 10 Common Issues with Privacy Policies, 05 January 2021. https://www.privacypolicies.com/blog/privacy-policy-common-issues/
Beall, G.: 10 Ways to Keep Your Information Safe in The Digital Age, 15 October 2018. https://www.business2community.com/cybersecurity/10-ways-to-keep-your-information-safe-in-the-digital-age-02130163
Podiyan, P., Butakov, S., Zavarsky, P.: Study of compliance of Android location APIs with Geopriv. In: Proceedings of the 8th ACM Conference on Security & Privacy in Wireless and Mobile Networks (WiSec 2015), Article 30, pp. 1–2. Association for Computing Machinery, New York (2015). https://doi.org/10.1145/2766498.2774989
Cooper, A., Hardie, T.: GEOPRIV: Creating Building Blocks for Managing Location Privacy on the Internet, 7 September 2009. https://www.ietfjournal.org/geopriv-creating-building-blocks-for-managing-location-privacy-on-the-internet/
Cheug, H., Elkhodr, M., Shahrestani, S.: A review of mobile location privacy in the Internet of Things. In: 2012 Tenth International Conference on ICT and Knowledge Engineering (2012)
Kwan, M.P., Casas, I., Schmitz, B.: Protection of geoprivacy and accuracy of spatial information: how effective are geographical masks? Cartographica Int. J. Geogr. Inf. Geovis. 39(2), 15–28 (2004)
Azmi, R., Tibben, W., Win, K.T.: Review of cybersecurity frameworks: context and shared concepts. J. Cyber Policy 3(2), 258–283 (2018)
Zhao, H., Lobo, J., Roy, A., Bellovin, S.M.: Policy refinement of network services for MANETs. In: 12th IFIP/IEEE International Symposium on Integrated Network Management (IM 2011) and Workshops, pp. 113–120. IEEE, May 2011
Schulzrinne, H., Tschofenig, H., Polk, J., Morris, J., Thomson, M.: Geolocation Policy: A Document Format for Expressing Privacy Preferences for Location Information, January 2013. https://www.hjp.at/doc/rfc/rfc6772.html. Accessed 15 June 2021
Jocelyn, M.: Clauses for Privacy Policy, 22 December 2020. https://www.termsfeed.com/blog/privacy-policy-clauses/
Poese, I., Uhlig, S., Kaafar, M.A., Donnet, B., Gueye, B.: IP geolocation databases: unreliable? ACM SIGCOMM Comput. Commun. Rev. 41(2), 53–56 (2011)
Katz-Bassett, E., John, J.P., Krishnamurthy, A., Wetherall, D., Anderson, T., Chawathe, Y.: Towards IP geolocation using delay and topology measurements. In: Proceedings of the 6th ACM SIGCOMM Conference on Internet Measurement, pp. 71–84, October 2006
Zu, S., Luo, X., Liu, S., Liu, Y., Liu, F.: City-level IP geolocation algorithm based on PoP network topology. IEEE Access 6, 64867–64875 (2018)
Dong, Z., Perera, R.D., Chandramouli, R., Subbalakshmi, K.P.: Network measurement based modeling and optimization for IP geolocation. Comput. Netw. 56(1), 85–98 (2012)
Hu, Z., Heidemann, J., Pradkin, Y.: Towards geolocation of millions of IP addresses. In: Proceedings of the 2012 Internet Measurement Conference, pp. 123–130, November 2012
Jensen, C., Potts, C.: Privacy policies as decision-making tools: an evaluation of online privacy notices. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 471–478, April 2004
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Patel, K., Vyas, K., Patel, M., Vyas, D., Butakov, S. (2022). Privacy Protection in Geolocation Monitoring Applications. In: Misra, S., Oluranti, J., Damaševičius, R., Maskeliunas, R. (eds) Informatics and Intelligent Applications. ICIIA 2021. Communications in Computer and Information Science, vol 1547. Springer, Cham. https://doi.org/10.1007/978-3-030-95630-1_13
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