Optimal Randomized Partial Checking for Decryption Mix Nets

Thomas Haines*, Johannes Müller

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

One of the most important verifiability techniques for mix nets is randomized partial checking (RPC). This method is employed in a number of prominent secure e-voting systems, including Prêt à Voter, Civitas, and Scantegrity II, some of which have also been used for real political elections including in Australia. Unfortunately, it turned out that there exists a significant gap between the intended and the actual verifiability tolerance of the original RPC protocol. This mismatch affects exactly the “Achilles heel” of RPC, namely those application scenarios where manipulating a few messages can swap the final result (e.g., in close runoff elections). In this work, we propose the first RPC protocol which closes the aforementioned gap for decryption mix nets. We prove that our new RPC protocol achieves an optimal verifiability level, without introducing any disadvantages. Current implementations of RPC for decryption mix nets, in particular for real-world secure e-voting, should adopt our changes to improve their security.

Original languageEnglish
Title of host publicationInformation Security and Privacy - 26th Australasian Conference, ACISP 2021, Proceedings
EditorsJoonsang Baek, Sushmita Ruj
PublisherSpringer Science and Business Media Deutschland GmbH
Pages277-292
Number of pages16
ISBN (Print)9783030905668
DOIs
Publication statusPublished - 2021
Externally publishedYes
Event26th Australasian Conference on Information Security and Privacy, ACISP 2021 - Virtual, Online
Duration: 1 Dec 20213 Dec 2021

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13083 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference26th Australasian Conference on Information Security and Privacy, ACISP 2021
CityVirtual, Online
Period1/12/213/12/21

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