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Electronic Voting

Overview of attention for book
Cover of 'Electronic Voting'

Table of Contents

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    Book Overview
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    Chapter 1 Computing the Margin of Victory in Preferential Parliamentary Elections
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    Chapter 2 Ballot-Polling Risk Limiting Audits for IRV Elections
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    Chapter 3 The Threat of SSL/TLS Stripping to Online Voting
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    Chapter 4 Modular Formalisation and Verification of STV Algorithms
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    Chapter 5 Online Voting in Indigenous Communities: Lessons from Canada
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    Chapter 6 Process Models for Universally Verifiable Elections
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    Chapter 7 Model Checking the SELENE E-Voting Protocol in Multi-agent Logics
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    Chapter 8 How Much Does an e-Vote Cost? Cost Comparison per Vote in Multichannel Elections in Estonia
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    Chapter 9 Implementing an Audio Side Channel for Paper Voting
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    Chapter 10 The E-voting Readiness Index and the Netherlands
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    Chapter 11 Winning the Election, but Losing the Litigation: A Prognosis of Nigerian Judicial Attitudes Toward Evidence Produced from ‘E-Accreditation Machines’
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    Chapter 12 Risk-Limiting Audits by Stratified Union-Intersection Tests of Elections (SUITE)
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    Chapter 13 Rounding Considered Harmful
Attention for Chapter 11: Winning the Election, but Losing the Litigation: A Prognosis of Nigerian Judicial Attitudes Toward Evidence Produced from ‘E-Accreditation Machines’
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Citations

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Chapter title
Winning the Election, but Losing the Litigation: A Prognosis of Nigerian Judicial Attitudes Toward Evidence Produced from ‘E-Accreditation Machines’
Chapter number 11
Book title
Electronic Voting
Published by
Springer, Cham, October 2018
DOI 10.1007/978-3-030-00419-4_11
Book ISBNs
978-3-03-000418-7, 978-3-03-000419-4
Authors

Felix Oludare Omosele, Omosele, Felix Oludare

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 100%
Readers by discipline Count As %
Economics, Econometrics and Finance 1 100%

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