By Aggelos Kiayias, Anthi Orfanou (auth.), James Heather, Steve Schneider, Vanessa Teague (eds.)

This booklet constitutes the completely refereed convention court cases of the 4th foreign convention on E-Voting and id, VoteID 2013, held in Guildford, united kingdom, in the course of July 17-19, 2013. The 12 revised complete papers provided have been conscientiously chosen from 26 submissions. The papers comprise a number of works on end-to-end verifiable election platforms, verifiably right advanced tallying algorithms, human perceptions of verifiability, formal types of verifiability and, after all, assaults on platforms previously marketed as verifiable

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Extra resources for E-Voting and Identify: 4th International Conference, Vote-ID 2013, Guildford, UK, July 17-19, 2013. Proceedings

Sample text

T. two particular candidates are consistent, then that collective preference is not contradicted by the election result. The first criterion only considers number of votes and ignores preferences, while the second criterion only considers preferences and ignores number of votes. This separation of the two dimensions (number of votes and preferences) is the key to finding strong criteria that can be described declaratively. The two criteria compromise in different ways on the two goals of generality and restrictiveness: Criterion 1 has full coverage.

The Droop quota in this case is Q = 5/(2 + 1) + 1 = 2. On the Specification and Verification of Voting Schemes 35 In the first iteration of the main loop, candidate A meets the quota and is hence elected. Two of the votes [A, B, D] are erased, the third is a surplus vote. It is transformed into [B, D] by deleting A from the ballots. In the second iteration no candidate reaches the quota, thus the weakest of the remaining candidates B, C, D is eliminated – which one depends on the kind of tie-breaker used as all three have exactly one first-preference vote at that point.

To do so they did a clean-room implementation of the Scottish STV system in the purely functional programming language CLEAN and then compared nearly 6,000 hand-written and automatically generated test runs between all three implementations [13,14]. It is perhaps surprising that they found a number of errors in the commercial implementations, given the ad hoc nature of their testing. Researchers at the University College Dublin performed a similar exercise on behalf of the aforemented CEV to test the closed source “PowerVote” tally system.

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