skip to main content
10.1145/3416012.3424627acmconferencesArticle/Chapter ViewAbstractPublication PagesmobicomConference Proceedingsconference-collections
research-article

Vecsim: Carrier-based, Privacy-Preserving Cellphone Contact Tracing

Published:16 November 2020Publication History

ABSTRACT

In this paper, Vecsim, a novel contact tracing method, is proposed. Vecsim determines the user proximity based on the existing log data already collected by the cellphone network carrier for network management purposes, and is transparent to the users. Compared to the existing methods that require user involvement, such as downloading an application and turning on Bluetooth, Vecsim is easier to deploy and may cover a larger population. Vecsim protects user privacy by focusing on user proximity detection, which is different from localization. In addition, proximity detection is a much easier problem than localization and can achieve higher accuracy. The key novelties of Vecsim include a simple method for distance estimation based on the similarity of two data records, as well as exploiting the massive log data to learn the discontinuity of the signal field. Vecsim has been tested with the signal field generated by a commercial ray tracing software program in a 2 km by 2 km urban area. The results show that Vecsim alerts over 96% of cellphones within 50 m to each other, while alerting less than 4.5% of cellphones beyond 150 meters.

References

  1. Singapore Government Agency. 2020. TraceTogether, safer together. www.tracetogether.gov.sg.Google ScholarGoogle Scholar
  2. N. Ahmed, R. A. Michelin, W. Xue, S. Ruj, R. Malaney, S. S. Kanhere, A. Seneviratne, W. Hu, H. Janicke, and S. K. Jha. 2020. A Survey of COVID-19 Contact Tracing Apps. IEEE Access (2020).Google ScholarGoogle Scholar
  3. Google Apple. 2020. Privacy-Preserving Contact Tracing. https://www.apple.com/covid19/contacttracing/.Google ScholarGoogle Scholar
  4. J. G. Cleary and G.Wyvill. 1988. Analysis of an algorithm for fast ray tracing using uniform space subdivision. Vis. Comput. 4, 2 (1988), 65--83.Google ScholarGoogle ScholarCross RefCross Ref
  5. Epidemiology COVID-19 National Emergency Response Center, Korea Centers for Disease Control Case Management Team, and Prevention. 2020. Contact Transmission of COVID-19 in South Korea Novel Investigation Techniques for Tracing Contacts. (2020). www.ncbi.nlm.nih.gov/pmc/articles/PMC7045882/Google ScholarGoogle Scholar
  6. E. Damosso and L. M. Coreia. 1999. COST Action 231: Digital Mobile Radio Towards Future Generation Systems: Final Report. In European Commissions.Google ScholarGoogle Scholar
  7. V. Degli-Eposti, G. Lombardi, C. Passerini, and G. Riva. 2001. Wide-band measurement and ray-tracing simulation of the 1900-MHz indoor propagation channel: Comparison criteria and results. IEEE Trans. Antennas Propag 49, 7 (Jul. 2001), 1101--1110.Google ScholarGoogle ScholarCross RefCross Ref
  8. B. R. Epstein and D. L. Rhodes. 2010. GPU-accelerated ray tracing for electromagnetic propagation analysis. In IEEE Int. Conf. Wireless Inf. Technol. Syst.Google ScholarGoogle Scholar
  9. V. Erceg, S. J. Fortune, J. Ling, A. J. Rustako, and R. A. Valenzuela. 1997. Comparisons of a computer-based propagation prediction tool with experimental data collected in urban microcellular environments. IEEE J. Sel. Areas Commun 15, 4 (May 1997), 677--684. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. P. Flajolet, D. Gardy, and L. Thimonier. 1992. Birthday paradox, coupon collectors, caching algorithms and self-organizing search. Discrete Applied Mathematics 39, 3 (1992), 207 -- 229. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Center for Disease Control and Prevention. 2020. Identify the Primary Components of COVID-19 Contact Tracing. www.cdc.gov/coronavirus/2019-ncov/php/contact-tracing/identify-primary-components-of-contact-tracing.html.Google ScholarGoogle Scholar
  12. F. Fuschini, H. El-Sallabi, V. Degli-Esposti, L. Vuokko, D. Guiducci, and P. Vainikainen. 2008. Analysis of multipath propagation in urban environment through multidimensional measurements and advanced ray tracing simulation. IEEE Trans. Antennas Propag 56, 3 (Mar. 2008), 848--857.Google ScholarGoogle ScholarCross RefCross Ref
  13. E. Gan and D. Culver. 2020. China is fighting the coronavirus with a digital QR code. Here's how it works. https://www.cnn.com/2020/04/15/asia/chinacoronavirus-qr-code-intl-hnk/index.html.Google ScholarGoogle Scholar
  14. C. Gribble and J. Amstutz. 2015. Stingray: High-performance RF energy propagation modeling in complex environments. DIAC Journal 2, 2 (Spring 2015), 16--24.Google ScholarGoogle Scholar
  15. E. Hernandez-Orallo, P. Manzoni, C. T. Calafate, and J. Cano. 2020. Evaluating How Smartphone Contact Tracing Technology Can Reduce the Spread of Infectious Diseases: The Case of COVID-19. IEEE Access (2020).Google ScholarGoogle Scholar
  16. G. Liang and H. L. Bertoni. 1998. A new approach to 3-D ray tracing for propagation prediction in cities. IEEE Trans. Antennas Propag. 46, 6 (Jun. 1998), 853--863.Google ScholarGoogle ScholarCross RefCross Ref
  17. H. Ling, R.-C. Chou, and S.-W. Lee. 1989. Shooting and bouncing rays: Calculating the RCS of an arbitrarily shaped cavity. IEEE Trans. Antennas Propag 37, 2 (Feb. 1989), 194--205.Google ScholarGoogle ScholarCross RefCross Ref
  18. R. Margolies, R. A. Becker, S. D. Byers, S. Deb, R. Jana, S. Urbanek, and C. Volinsky. 2017. Can you find me now? Evaluation of network-based localization in a 4G LTE network. In IEEE INFOCOM.Google ScholarGoogle Scholar
  19. L. Ni, Y. Wang, H. Tang, Z. Yin, and Y. Shen. 2017. Accurate Localization Using LTE Signaling Data. In IEEE International Conference on Computer and Information Technology. 268--273.Google ScholarGoogle Scholar
  20. A. Ray, S. Deb, and P. Monogioudis. 2016. Localization of LTE measurement records with missing information. In IEEE Infocom (San Fransisco, CA, USA).Google ScholarGoogle Scholar
  21. Remcom. 2020. Wireless insite. http://www.remcom.com/wireless-insite.Google ScholarGoogle Scholar
  22. J. Tan, Z. Su, and Y. Long. 2015. A full 3-D GPU-based beam-tracing method for complex indoor environments propagation modeling. IEEE Trans. Antennas Propag 63, 6 (Jun. 2015), 2705--2718.Google ScholarGoogle ScholarCross RefCross Ref
  23. S. Y. Tan and H. S. Tan. 1996. A microcellular communications propagation model based on the uniform theory of diffraction and multiple image theory. IEEE Trans. Antennas Propag. 44, 10 (Oct. 1996), 1317--1326.Google ScholarGoogle ScholarCross RefCross Ref
  24. Minh Tran. 2015. Accurate Location Detection -- 911 Help SMS App.Google ScholarGoogle Scholar
  25. Reinaldo A. Valenzuela. 1994. Ray tracing prediction of indoor radio propagation. In PIMRC.Google ScholarGoogle Scholar
  26. E. M. Vitucci, F. Mani, V. Degli-Esposti, and C. Oestges. 2012. Polarimetric properties of diffuse scattering from building walls: Experimental parameterization of a ray-tracing model. IEEE Trans. Antennas Propag. 60, 6 (Jun. 2012), 2961--2969.Google ScholarGoogle ScholarCross RefCross Ref
  27. E Waltz. 2020. Back to Work: Wearables Track Social Distancing and Sick Employees in the Workplace. https://spectrum.ieee.org/the-human-os/biomedical/devices/wearables-track-social-distancing-sick-employees-workplace.Google ScholarGoogle Scholar
  28. E Yoneki. 2011. FluPhone Study: Virtual Disease Spread Using Haggle. In Proceedings of the 6th ACM Workshop on Challenged Networks. Association for Computing Machinery, New York, NY, USA, 65--66. Google ScholarGoogle ScholarDigital LibraryDigital Library
  29. Z. Yun and M. F. Iskander. 2015. Ray tracing for radio propagation modeling: principles and applications. IEEE Access 3 (2015), 1089--1100.Google ScholarGoogle ScholarCross RefCross Ref
  30. K. Zhang, X. Liang, J. Ni, K. Yang, and X. Shen. 2018. Exploiting Social Network to Enhance Human-to-Human Infection Analysis without Privacy Leakage. IEEE Transactions on Dependable and Secure Computing (2018).Google ScholarGoogle Scholar

Index Terms

  1. Vecsim: Carrier-based, Privacy-Preserving Cellphone Contact Tracing

        Recommendations

        Comments

        Login options

        Check if you have access through your login credentials or your institution to get full access on this article.

        Sign in
        • Published in

          cover image ACM Conferences
          MobiWac '20: Proceedings of the 18th ACM Symposium on Mobility Management and Wireless Access
          November 2020
          148 pages
          ISBN:9781450381192
          DOI:10.1145/3416012

          Copyright © 2020 ACM

          Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

          Publisher

          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 16 November 2020

          Permissions

          Request permissions about this article.

          Request Permissions

          Check for updates

          Qualifiers

          • research-article

          Acceptance Rates

          Overall Acceptance Rate83of272submissions,31%
        • Article Metrics

          • Downloads (Last 12 months)2
          • Downloads (Last 6 weeks)0

          Other Metrics

        PDF Format

        View or Download as a PDF file.

        PDF

        eReader

        View online with eReader.

        eReader