It’s not possible to engineer a system that is 100% secure.
The only thing one can influence is the cost an attacker has to pay.
In the 2020 US election, the cost for a fraudulent vote was estimated to have been between just $3 to $5.
Hash Elections proposes 4 approaches to increase the cost of a fraudulent vote by applying theory from computer science.
| Ballots | Voter | Count | Tabulation |
|---|---|---|---|
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| Hash Ballots | Fingerprint 2FA | Competitive Counting |
Transparent Publishing |
These approaches transfer concepts from the digital realm into the analog one.
They aim at voting with human-only-processed paper ballots, removing the need for current electronic voting machines.
The only machines required would be those that verify and report the validity of a ballot and those that run a web server.
Together they form an innovative solution that reduces complexity and eliminates the need to give trust to the machines.