TY - GEN
T1 - Mitigating denial-of-service attacks on digital contact tracing
T2 - 18th ACM Conference on Embedded Networked Sensor Systems, SenSys 2020
AU - Chen, Bo Rong
AU - Hu, Yih Chun
N1 - Funding Information:
∗Work was performed in part while visiting Academia Sinica, Taipei, Taiwan (R.O.C.) This work is supported in part by NSF under CNS-17313 and Taiwan (R.O.C.) MOE 108 GSSA, and we thank Google for GCP Research Credits used in the evaluation, and Hsu-Chun Hsiao and the reviewers for their valuable feedback.
PY - 2020/11/16
Y1 - 2020/11/16
N2 - Due to the COVID-19 pandemic, many researchers have proposed privacy-preserving smartphone proximity tracing. Current projects, based on ephemeral IDs, are vulnerable to DoS attacks. In this paper, we present BlindSignedIDs that can be verified in-place through a TESLA server. We will demonstrate our BlindSignedIDs can effectively mitigate such DoS attacks.
AB - Due to the COVID-19 pandemic, many researchers have proposed privacy-preserving smartphone proximity tracing. Current projects, based on ephemeral IDs, are vulnerable to DoS attacks. In this paper, we present BlindSignedIDs that can be verified in-place through a TESLA server. We will demonstrate our BlindSignedIDs can effectively mitigate such DoS attacks.
UR - http://www.scopus.com/inward/record.url?scp=85097535081&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85097535081&partnerID=8YFLogxK
U2 - 10.1145/3384419.3430599
DO - 10.1145/3384419.3430599
M3 - Conference contribution
AN - SCOPUS:85097535081
T3 - SenSys 2020 - Proceedings of the 2020 18th ACM Conference on Embedded Networked Sensor Systems
SP - 770
EP - 771
BT - SenSys 2020 - Proceedings of the 2020 18th ACM Conference on Embedded Networked Sensor Systems
PB - Association for Computing Machinery, Inc
Y2 - 16 November 2020 through 19 November 2020
ER -