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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 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
Attention for Chapter 5: No More Excuses: Automated Synthesis of Practical and Verifiable Vote-Counting Programs for Complex Voting Schemes
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Chapter title
No More Excuses: Automated Synthesis of Practical and Verifiable Vote-Counting Programs for Complex Voting Schemes
Chapter number 5
Book title
Electronic Voting
Published by
Springer, Cham, October 2017
DOI 10.1007/978-3-319-68687-5_5
Book ISBNs
978-3-31-968686-8, 978-3-31-968687-5
Authors

Lyria Bennett Moses, Rajeev Goré, Ron Levy, Dirk Pattinson, Mukesh Tiwari

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 50%
Professor > Associate Professor 1 17%
Unknown 2 33%
Readers by discipline Count As %
Computer Science 2 33%
Engineering 2 33%
Unknown 2 33%

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