Mitigating denial-of-service attacks on digital contact tracing: Poster abstract

Bo Rong Chen, Yih Chun Hu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish (US)
Title of host publicationSenSys 2020 - Proceedings of the 2020 18th ACM Conference on Embedded Networked Sensor Systems
PublisherAssociation for Computing Machinery, Inc
Pages770-771
Number of pages2
ISBN (Electronic)9781450375900
DOIs
StatePublished - Nov 16 2020
Event18th ACM Conference on Embedded Networked Sensor Systems, SenSys 2020 - Virtual, Online, Japan
Duration: Nov 16 2020Nov 19 2020

Publication series

NameSenSys 2020 - Proceedings of the 2020 18th ACM Conference on Embedded Networked Sensor Systems

Conference

Conference18th ACM Conference on Embedded Networked Sensor Systems, SenSys 2020
CountryJapan
CityVirtual, Online
Period11/16/2011/19/20

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Computer Networks and Communications

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