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Usability and Security Standards for Electronic Voting. IEEE Electronic Voting Workshop Arnold B. Urken Professor of Political Science Stevens Institute of Technology Castle Point on the Hudson Hoboken, New Jersey 07030 [email protected] July 28, 2003. - PowerPoint PPT Presentation
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© 2003 Arnold B. Urken. All Rights Reserved. 1
Usability and Security Standards for Electronic Voting
IEEE Electronic Voting Workshop
Arnold B. UrkenProfessor of Political Science
Stevens Institute of TechnologyCastle Point on the HudsonHoboken, New Jersey [email protected]
July 28, 2003
© 2003 Arnold B. Urken. All Rights Reserved. 2
Electronic Voting Standards Issues
Usability Plug and play scoring of votes is not simple Partisan groups should not control the
development of alternative scoring methods
Security “Absolute” privacy is not trustworthy
without active auditing Formal methods should be incorporated into
voting standards
© 2003 Arnold B. Urken. All Rights Reserved. 3
Usability: Plug and Play Scoring
Alternative scoring affects Auditing and verification Presentation of results Choice of aggregation criteria
“Majority” is not magic The probability of a tied outcome will
increase significantly under some methods
Conflicting definitions of majority must be resolved (e.g., approval voting)
© 2003 Arnold B. Urken. All Rights Reserved. 4
Usability: Partisan Issues
Scoring technology will enable communities to consider new options for organizing elections
Partisan interest groups should not be allowed to determine what is feasible
There is no “best” or optimal scoring method for elections
© 2003 Arnold B. Urken. All Rights Reserved. 5
Security: Privacy
Technology should be developed to enable desirable social practices to be implemented
Active auditing is needed to cope with benign and malicious error in data collection and server maintenance
Voluntary sharing of vote data is not “unthinkable”
© 2003 Arnold B. Urken. All Rights Reserved. 6
Security: Formal Methods
New ways of improving voting security Type-safe transactions
Prevent malicious/benign error Open up new options for verification
Model checking Create an election database: from registration
to election outcome Use model verification to detect random and
malicious errors in election processes