Name:
VOTEAGAIN
Description:
Scalable coercion-resistant voting system
Professor — Lab:
Carmela TroncosoSecurity and Privacy Engineering Laboratory

Technical description:
The strongest threat model for voting systems considerscoercion resistance: protection against coercers that force voters to modify their votes, or to abstain. Existing remote voting systems either do not provide this property; require an ex-pensive tallying phase; or burden users with the need to store cryptographic key material and with the responsibility to deceive their coercers. VoteAgain is a scalable voting scheme that relies on the revoting paradigm to provide coercion resistance.
Papers:
Project status:
inactive — entered showcase: 2021-11-04 — entry updated: 2022-07-07

Source code:
Lab GitHub - last commit: 2022-03-22
Code quality:
This project has not yet been evaluated by the C4DT Factory team. We will be happy to evaluate it upon request.
Project type:
Experiments
Programming language:
Python
License:
MIT