Security Analysis of the Diebold Voting
Machine
Princeton Ariel J. Feldman, J. Alex Halderman, and Edward W. Felten September 13, 2006 The Diebold AccuVote-TS and its newer relative the AccuVote-TSx are together the most widely deployed electronic voting platform in the United States. In the November 2006 general election, these machines are scheduled to be used in 357 counties representing nearly 10% of registered voters. Approximately half these counties — including all of Maryland and Georgia — will employ the AccuVote-TS model. More than 33,000 of the TS machines are in service nationwide. This paper reports on our study of an AccuVote-TS, which we obtained from a private party. We analyzed the machine's hardware and software, performed experiments on it, and considered whether real election practices would leave it suitably secure. We found that the machine is vulnerable to a number of extremely serious attacks that undermine the accuracy and credibility of the vote counts it produces. Computer scientists have generally been skeptical of voting systems of this type, Direct Recording Electronic (DRE), which are essentially general-purpose computers running specialized election software. Experience with computer systems of all kinds shows that it is exceedingly difficult to ensure the reliability and security of complex software or to detect and diagnose problems when they do occur. Yet DREs rely fundamentally on the correct and secure operation of complex software programs. Simply put, many computer scientists doubt that paperless DREs can be made reliable and secure, and they expect that any failures of such systems would likely go undetected. Previous security studies of DREs affirm this skepticism, but to our knowledge ours is the first public study encompassing the hardware and software of a widely used DRE. The famous paper by Kohno, Stubblefield, Rubin, and Wallach studied a leaked version of the source code for parts of the Diebold AccuVote-TS software and found many design errors and vulnerabilities, which are generally confirmed by our study. Our study extends theirs by including the machine's hardware and operational details, by finding and describing several new and serious vulnerabilities, and by building working demonstrations of several security attacks. Main Findings The main findings of our study are:
The details of our analysis appear in the full version of this paper [PDF]. Commentary: |