Toggle Main Menu Toggle Search

Open Access padlockePrints

Scantegrity II: End-to-End Verifiability for Optical Scan Election Systems using Invisible Ink Confirmation Codes

Lookup NU author(s): Professor Peter Ryan

Downloads


Abstract

We introduce Scantegrity II, a practical enhancement for optical scan voting systems that achieves increased election integrity through the novel use of confirmation codes printed on ballots in invisible ink.\comment{Through the novel use of invisible ink on election ballots, a practical enhancement for increasing the integrity of any optical scan voting system is achieved. } Voters mark ballots just as in conventional optical scan but using a special pen that develops the invisible ink. Verifiability of election integrity is end-to-end, allowing voters to check that their votes are correctly included (without revealing their votes) and allowing anyone to check that the tally is computed correctly from the included votes. Unlike in the original Scantegrity, dispute resolution neither relies on paper chits nor requires election officials to recover particular ballot forms. Scantegrity II works with either precinct-based or central scan systems. The basic system has been implemented in open-source Java with off-the-shelf printing equipment and has been tested in a small election. An enhancement to Scantegrity II keeps ballot identification and other unique information that is revealed to the voter in the booth from being learned by persons other than the voter. This modification achieves privacy that is essentially equivalent to that of ordinary paper ballot systems, allowing manual counting and recounting of ballots.


Publication metadata

Author(s): Chaum D, Carback R, Clark J, Essex A, Popoveniuc S, Rivest R L, Ryan PYA, Shen E, Sherman AT

Publication type: Report

Publication status: Published

Series Title: School of Computing Science Technical Report Series

Year: 2008

Pages: 16

Print publication date: 01/07/2008

Source Publication Date: July 2008

Report Number: 1107

Institution: School of Computing Science, University of Newcastle upon Tyne

Place Published: Newcastle upon Tyne

URL: http://www.cs.ncl.ac.uk/publications/trs/papers/1107.pdf


Share