TY - GEN
T1 - Blockchain-empowered contact tracing for COVID-19 using crypto-spatiotemporal information
AU - Wen, Zheng
AU - Yu, Keping
AU - Qi, Xin
AU - Sato, Toshio
AU - Katsuyama, Yutaka
AU - Sato, Takuro
AU - Kameyama, Wataru
AU - Kato, Fumivuki
AU - Cao, Yang
AU - Yoshikawa, Masatoshi
AU - Luo, Min
AU - Hashimoto, Jun
N1 - Funding Information:
ACKNOWLEDGMENT This research and development work was supported by the MIC/SCOPE #205003002, “Certification System Using Simplified LPWA based Distributed Ledger Technology”.
Publisher Copyright:
© 2021 IEEE.
PY - 2021/3/1
Y1 - 2021/3/1
N2 - The pandemic of the COVID-19 [1] has reawakened people that viruses are still the greatest threat to human society. Quarantining the patients and tracking close contacts has been used for hundreds of years in the battle between humans and the plague, which are still useful today. In the information society, we can employ information communications technology (ICT) to suppress the spread of epidemics and lower the epidemic curve. By using spatiotemporal information, we can trace the trajectories of patients and their close contacts. However, spatiotemporal information also involves personal privacy, and it has become a topic of concern about whether people's privacy should be sacrificed for epidemic control. In this paper, we propose a close contact tracing solution based on crypto-spatiotemporal information (CSI). First, the solution encrypts spatiotemporal information to protect personal privacy. Then, it uses a blockchain platform to realize the proof of CSI and uses Intel SGX [2] based trusted execution environment [3] to perform close contact judgment. Finally, it can trace close contacts while protecting personal privacy. The evaluation results indicate that the advantages and efficiency of the proposed scheme are significant.
AB - The pandemic of the COVID-19 [1] has reawakened people that viruses are still the greatest threat to human society. Quarantining the patients and tracking close contacts has been used for hundreds of years in the battle between humans and the plague, which are still useful today. In the information society, we can employ information communications technology (ICT) to suppress the spread of epidemics and lower the epidemic curve. By using spatiotemporal information, we can trace the trajectories of patients and their close contacts. However, spatiotemporal information also involves personal privacy, and it has become a topic of concern about whether people's privacy should be sacrificed for epidemic control. In this paper, we propose a close contact tracing solution based on crypto-spatiotemporal information (CSI). First, the solution encrypts spatiotemporal information to protect personal privacy. Then, it uses a blockchain platform to realize the proof of CSI and uses Intel SGX [2] based trusted execution environment [3] to perform close contact judgment. Finally, it can trace close contacts while protecting personal privacy. The evaluation results indicate that the advantages and efficiency of the proposed scheme are significant.
KW - Blockchain
KW - COVID-19
KW - Close contact tracing
KW - Component
KW - Crypto-spatiotemporal information (CSI)
KW - Trusted execution environment (TEE)
UR - http://www.scopus.com/inward/record.url?scp=85104841635&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85104841635&partnerID=8YFLogxK
U2 - 10.1109/HEALTHCOM49281.2021.9398978
DO - 10.1109/HEALTHCOM49281.2021.9398978
M3 - Conference contribution
AN - SCOPUS:85104841635
T3 - 2020 IEEE International Conference on E-Health Networking, Application and Services, HEALTHCOM 2020
BT - 2020 IEEE International Conference on E-Health Networking, Application and Services, HEALTHCOM 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 22nd IEEE International Conference on E-Health Networking, Application and Services, HEALTHCOM 2020
Y2 - 1 March 2021 through 2 March 2021
ER -