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https://dx.doi.org/10.4230/dag...
Article . 2008
License: CC BY
Data sources: Datacite
DBLP
Conference object . 2018
Data sources: DBLP
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Civitas: A Secure Remote Voting System

Authors: Clarkson, Michael; Chong, Stephen; Myers, Andrew;

Civitas: A Secure Remote Voting System

Abstract

Civitas is the first implementation of a coercion-resistant, universally verifiable, remote voting scheme. This paper describes the design of Civitas, details the cryptographic protocols used in its construction, and illustrates how language-enforced information-flow security policies yield assurance in the implementation. The performance of Civitas scales well in the number of voters and offers reasonable tradeoffs between time, cost, and security. These results suggest that secure electronic voting is achievable. The name of this system as presented at Dagstuhl was CIVS. In August 2007, the name was changed to Civitas. For more information, see the Civitas website at http://www.cs.cornell.edu/projects/civitas.

Country
Germany
Keywords

coercion resistance, Electronic voting, secure bulletin boards, voter registration, 004, cryptographic protocols, ddc: ddc:004

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green