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Electronic Voting

Overview of attention for book
Cover of 'Electronic Voting'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    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 6: Public Evidence from Secret Ballots
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Chapter title
Public Evidence from Secret Ballots
Chapter number 6
Book title
Electronic Voting
Published by
Springer, Cham, October 2017
DOI 10.1007/978-3-319-68687-5_6
Book ISBNs
978-3-31-968686-8, 978-3-31-968687-5
Authors

Matthew Bernhard, Josh Benaloh, J. Alex Halderman, Ronald L. Rivest, Peter Y. A. Ryan, Philip B. Stark, Vanessa Teague, Poorvi L. Vora, Dan S. Wallach, Bernhard, Matthew, Benaloh, Josh, Alex Halderman, J., Rivest, Ronald L., Ryan, Peter Y. A., Stark, Philip B., Teague, Vanessa, Vora, Poorvi L., Wallach, Dan S.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 25%
Student > Master 6 15%
Other 5 13%
Student > Bachelor 3 8%
Student > Postgraduate 3 8%
Other 6 15%
Unknown 7 18%
Readers by discipline Count As %
Computer Science 24 60%
Mathematics 3 8%
Social Sciences 2 5%
Economics, Econometrics and Finance 1 3%
Nursing and Health Professions 1 3%
Other 2 5%
Unknown 7 18%