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IEEE Security & Privacy
Article . 2012 . Peer-reviewed
License: IEEE Copyright
Data sources: Crossref
DBLP
Article . 2012
Data sources: DBLP
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Security and Elections

Authors: Matt Bishop; Sean Peisert;

Security and Elections

Abstract

Elections are common to almost all societies. Periodically, groups of people determine their representatives, leaders, neighborhood spokespersons, corporate executives, or union representatives by casting ballots and counting votes using a variety of schemes. Those who don't participate see others around them doing so. And stories abound about rigged elections or results considered compromised by accident or poor communication. US-based elections follow a general pattern of voter registration, determining items to vote on, generating ballots, distributing election materials to the polling places, voting, counting the votes, declaring winners, and auditing the results. The details differ among jurisdictions, but each step requires considerable care to ensure the election's integrity. So, elections are an ideal mechanism for teaching about security. At the University of California, Davis, we teach numerous computer security classes for undergraduate majors and nonmajors and for graduate students. This column presents some of our experiences using elections and e-voting systems as lecture material and as a class project done with the Yolo County Elections Office.

Country
United States
Related Organizations
Keywords

electronic voting, Electronic voting, Security of data, Network security, privacy, voting fraud, Computer security, Privacy, e-voting, election security, computer security education, elections, Fraudlent activities, computer security

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Green