Abstract
The COVID-19 pandemic has made the scientific community devise means to implement “contact tracing” mechanisms to mitigate the spread of the infection. The crucial idea is to scan and record close contacts between users using mobile devices, in order to notify persons when their close contact(s) is diagnosed positive. Current contact tracing systems’ false-positive rate is too high to be practical as they do not filter Bluetooth scan results outside range of infection. Furthermore current systems neglect airborne transmission other than droplet transmission. Moreover, the ability granted to service providers of the contact tracing systems to access user data violates user privacy. Finally, attackers can modify, remove or fabricate contact records in their devices, which harms the integrity of the system. In this paper, we propose and develop a new contact tracing system which uses environmental factors to filter out results outside estimated effective transmission distance, and also take airborne transmission into consideration. In addition, we implement a rerandomizable signature scheme with blockchain bulletin board to provide confidentiality and integrity. We also evaluate the performance of our theory by implementing our algorithm on mobile devices.
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Notes
- 1.
Anonymous repository of the demonstration due to submission policy: https://anonymous.4open.science/r/PBK_Test-F6C1/.
- 2.
We use “Assertion” instead of “Assert” as it is in Sect. 5 because “Assert” is a keyword in Java.
References
Apple Inc. and Google LLC: Privacy-preserving contact tracing, April 2020. https://covid19.apple.com/contacttracing
Barai, S., Biswas, D., Sau, B.: Estimate distance measurement using NodeMCU ESP8266 based on RSSI technique. In: 2017 IEEE Conference on Antenna Measurements Applications (CAMA), pp. 170–173 (2017)
Boneh, D., Gentry, C., Lynn, B., Shacham, H.: Aggregate and verifiably encrypted signatures from bilinear maps. In: Biham, E. (ed.) EUROCRYPT 2003. LNCS, vol. 2656, pp. 416–432. Springer, Heidelberg (2003). https://doi.org/10.1007/3-540-39200-9_26
Canetti, R., et al.: Privacy-preserving automated exposure notification. IACR.org, July 2020
Chen, L.D.: Effects of ambient temperature and humidity on droplet lifetime - a perspective of exhalation sneeze droplets with COVID-19 virus transmission. Int. J. Hyg. Environ. Health 229, 113568 (2020)
Danz, N., Derwisch, O., Lehmann, A., Puenter, W., Stolle, M., Ziemann, J.: Security and privacy of decentralized cryptographic contact tracing. Cryptology ePrint Archive, Report 2020/1309 (2020)
Das, S.K., Alam, J.E., Plumari, S., Greco, V.: Transmission of airborne virus through sneezed and coughed droplets. Phys. Fluids 32(9), 097102 (2020)
De Caro, A., Iovino, V.: JPBC: Java pairing based cryptography. In: Proceedings of the 16th IEEE Symposium on Computers and Communications, ISCC 2011, Kerkyra, Corfu, Greece, June 28–July 1, pp. 850–855. IEEE (2011)
Embassy of PRC in UK: Notice on online application for health declaration certificate for non-Chinese nationals, November 2020
Han, Z.Y., Weng, W.G., Huang, Q.Y.: Characterizations of particle size distribution of the droplets exhaled by sneeze. J. R. Soc. Interface 10(88), 20130560 (2013)
Kim, W., Lee, H., Chung, Y.D.: Safe contact tracing for COVID-19: a method without privacy breach using functional encryption techniques based-on spatio-temporal trajectory data. PLOS ONE 15(12), e0242758 (2020). https://doi.org/10.1371/journal.pone.0242758
Levy, I.: High level privacy and security design for NHS COVID-19 contact tracing app. Technical report, National Cyber Security Centre, United Kingdom, May 2020
Liu, J.K., et al.: Privacy-preserving COVID-19 contact tracing app: a zero-knowledge proof approach. Cryptology ePrint Archive, Report 2020/528 (2020)
Ministry of Health: Covid-19 contact-confirming application. Technical report, Labour and Welfare of Japan, Tokyo, Japan, December 2020
National Center for Immunization and Respiratory Diseases: Scientific brief: SARS-COV-2 and potential airborne transmission. Technical report, Centers for Disease Control and Prevention, Atlanta, Georgia, United States, October 2020
National Fire and Protection Agency: NFPA-45 standard on fire protection for laboratories using chemicals, section 6-4.5 (2019)
Shen, X.: Personal information collected to fight Covid-19 is being spread online in China. South China Morning Post, May 2020. Accessed Feb 2021
Signees of the Joint Statement: Joint statement, April 2020. https://drive.google.com/file/d/1uB4LcQHMVP-oLzIIHA9SjKj1uMd3erGu/view
Starks, T.: Early Covid-19 tracking apps easy prey for hackers, and it might get worse before it gets better. Politico, July 2020. Accessed Feb 2021
Su, X., Wang, P., Jourenko, M., Larangeira, M., Tanaka, K.: Contact tracing from BLS signature with updatable public keys. In: SCIS (2021)
Whittaker, Z.: Fearing coronavirus, a Michigan college is tracking its students with a flawed app. TechCrunch, August 2020. Accessed Feb 2021
An, Y., et al.: Privacy-oriented technique for COVID-19 contact tracing (PROTECT) using homomorphic encryption: design and development study. J. Med. Internet Res. 23(7), e26371 (2021). https://doi.org/10.2196/26371
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Wang, P., Su, X., Jourenko, M., Jiang, Z., Larangeira, M., Tanaka, K. (2022). Environmental Adaptive Privacy Preserving Contact Tracing System for Respiratory Infectious Diseases. In: Meng, W., Conti, M. (eds) Cyberspace Safety and Security. CSS 2021. Lecture Notes in Computer Science(), vol 13172. Springer, Cham. https://doi.org/10.1007/978-3-030-94029-4_10
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DOI: https://doi.org/10.1007/978-3-030-94029-4_10
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