Secure contact tracing platform from simplest private set intersection cardinality

Jiahui Gao, Chetan Surana, Ni Trieu

Research output: Contribution to journalArticlepeer-review

Abstract

Contact tracing is an essential tool for controlling the spread of disease through human populations. However, existing contact tracing applications are either vulnerable to privacy and security attacks or heavy bandwidth/computational requirements on the client's devices. In this work, we introduce SecureCT, a Secure Contact Tracing platform with strong privacy protection and lightweight cost. SecureCT prevents linkage attacks, eliminates replay and relay attacks, and allows the phone's holder to delegate their contact tracing computation to untrusted servers while maintaining the user's privacy. The technical core of our scheme is an efficient Private Set Intersection Cardinality protocol which only relies on symmetric-key primitives. We evaluate its performance to show the feasibility of our proposed system in practice.

Original languageEnglish (US)
JournalIET Information Security
DOIs
StateAccepted/In press - 2022

ASJC Scopus subject areas

  • Software
  • Information Systems
  • Computer Networks and Communications

Fingerprint

Dive into the research topics of 'Secure contact tracing platform from simplest private set intersection cardinality'. Together they form a unique fingerprint.

Cite this