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Electronic Voting

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Cover of 'Electronic Voting'

Table of Contents

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    Book Overview
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    Chapter 1 Election Security and Economics: It’s All About Eve
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    Chapter 2 Cryptographic Security Analysis of E-voting Systems: Achievements, Misconceptions, and Limitations
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    Chapter 3 Voting in E-Participation: A Set of Requirements to Support Accountability and Trust by Electoral Committees
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    Chapter 4 The Weakness of Cumulative Voting
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    Chapter 5 No More Excuses: Automated Synthesis of Practical and Verifiable Vote-Counting Programs for Complex Voting Schemes
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    Chapter 6 Public Evidence from Secret Ballots
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    Chapter 7 Towards a Mechanized Proof of Selene Receipt-Freeness and Vote-Privacy
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    Chapter 8 Trust Implications of DDoS Protection in Online Elections
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    Chapter 9 Updated European Standards for E-voting
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    Chapter 10 A Formally Verified Single Transferable Voting Scheme with Fractional Values
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    Chapter 11 Reverse Bayesian Poisoning: How to Use Spam Filters to Manipulate Online Elections
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    Chapter 12 Return Code Schemes for Electronic Voting Systems
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    Chapter 13 Eos a Universal Verifiable and Coercion Resistant Voting Protocol
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    Chapter 14 Clash Attacks and the STAR-Vote System
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    Chapter 15 Verifiability Experiences in Government Online Voting Systems
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    Chapter 16 Cast-as-Intended Mechanism with Return Codes Based on PETs
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    Chapter 17 How Could Snowden Attack an Election?
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    Chapter 18 Bits or Paper: Which Should Get to Carry Your Vote?
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    Chapter 19 Estonian Voting Verification Mechanism Revisited Again
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Title
Electronic Voting
Published by
Springer International Publishing, January 2017
DOI 10.1007/978-3-319-68687-5
ISBNs
978-3-31-968687-5, 978-3-31-968686-8
Editors

Robert Krimmer, Melanie Volkamer, Nadja Braun Binder, Norbert Kersting, Olivier Pereira, Carsten Schürmann

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X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 29%
Student > Bachelor 4 10%
Researcher 3 7%
Lecturer 2 5%
Student > Ph. D. Student 2 5%
Other 5 12%
Unknown 13 32%
Readers by discipline Count As %
Computer Science 19 46%
Engineering 4 10%
Social Sciences 3 7%
Unknown 15 37%