Statistics attack on ‘quantum private comparison with a malicious third party’ and its improvement

Jun Gu, Chih Yung Ho, Tzonelih Hwang

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

Recently, Sun et al. (Quantum Inf Process:14:2125-2133, 2015) proposed a quantum private comparison protocol allowing two participants to compare the equality of their secrets via a malicious third party (TP). They designed an interesting trap comparison method to prevent the TP from knowing the final comparison result. However, this study shows that the malicious TP can use the statistics attack to reveal the comparison result. A simple modification is hence proposed to solve this problem.

Original languageEnglish
Article number23
JournalQuantum Information Processing
Volume17
Issue number2
DOIs
Publication statusPublished - 2018 Feb 1

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Statistical and Nonlinear Physics
  • Theoretical Computer Science
  • Signal Processing
  • Modelling and Simulation
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Statistics attack on ‘quantum private comparison with a malicious third party’ and its improvement'. Together they form a unique fingerprint.

  • Cite this