z-logo
open-access-imgOpen Access
Attacking and fixing Helios: An analysis of ballot secrecy
Author(s) -
Véronique Cortier,
Ben Smyth
Publication year - 2013
Publication title -
journal of computer security
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.201
H-Index - 56
eISSN - 1875-8924
pISSN - 0926-227X
DOI - 10.3233/jcs-2012-0458
Subject(s) - ballot , secrecy , electronic voting , computer security , computer science , independence (probability theory) , voting , vulnerability (computing) , context (archaeology) , compromise , internet privacy , political science , law , mathematics , geography , politics , statistics , archaeology
International audienceHelios 2.0 is an open-source web-based end-to-end verifiable electronic voting system, suitable for use in low-coercion environments. In this article, we analyse ballot secrecy in Helios and discover a vulnerability which allows an adversary to compromise the privacy of voters. The vulnerability exploits the absence of ballot independence in Helios and works by replaying a voter's ballot or a variant of it, the replayed ballot magnifies the voter's contribution to the election outcome and this magnification can be used to violated privacy. We demonstrate the practicality of the attack by violating a voter's privacy in a mock election using the software implementation of Helios. Moreover, the feasibility of an attack is considered in the context of French legislative elections and, based upon our findings, we believe it constitutes a real threat to ballot secrecy. We present a fix and show that our solution satisfies a formal definition of ballot secrecy using the applied pi calculus. Furthermore, we present similar vulnerabilities in other electronic voting protocols -- namely, the schemes by Lee \emphet al., Sako \& Kilian, and Schoenmakers -- which do not assure ballot independence. Finally, we argue that independence and privacy properties are unrelated, and non-malleability is stronger than independence

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom