Analysis of an electronic voting system

By Tadayoshi Kohno, Adam Stubblefield, Aviel D. Rubin, D. Wallach. IEEE Symposium on Security and Privacy : Proceedings, 2004

656 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Signal Processing

View Paper: https://www.semanticscholar.org/paper/ef874fa2e79bb28fd0ba45a691e7bdcfde76cc42

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Michael R. Clarkson
2. Stephen Chong
3. A. Myers
4. Ari Juels
5. Markus Jakobsson
6. Dario Catalano
7. Jean-Pierre Hubaux
8. Stephen A. Weis

In Signal Processing

1. Michael R. Clarkson
2. A. Myers
3. Ari Juels
4. Stephen Chong
5. Anil K. Jain
6. Sharath Pankanti
7. Andy Adler

Citations in the corpus

• Coercion-resistant electronic elections (2005, background): “Researchers have demonstrated serious, fundamental vulnerabilities in widely fielded DRE systems, e.g., [ 33 ].”
• Civitas: Toward a Secure Voting System (2008, background): “Electronic voting is now a reality—and so are the many errors and vulnerabilities in commercial electronic voting systems [4,12,61,91].”
• Verifying privacy-type properties of electronic voting protocols (2009, neutral): “Researchers [33] have analysed the source code of the Diebold machines used in 37 US states.”