https://github.com/zakcutner/tunefactor

Music-based 2FA
https://github.com/zakcutner/tunefactor

Last synced: about 1 year ago
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Music-based 2FA

• Host: GitHub
• URL: https://github.com/zakcutner/tunefactor
• Owner: zakcutner
• Created: 2018-02-17T12:40:24.000Z (over 8 years ago)
• Default Branch: master
• Last Pushed: 2018-02-18T13:04:50.000Z (over 8 years ago)
• Last Synced: 2025-03-14T06:42:00.824Z (over 1 year ago)
• Language: JavaScript
• Size: 317 KB
• Stars: 8
• Watchers: 4
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
TuneFactor uses your music tastes to present a 2-factor authentication challenge that only you can pass. It takes 2-factor authentication to the next level - authenticating a user based on their behaviour, rather than a code from a text message or app.

## How we compare

  | Authenticator App | TuneFactor

---|---|---

tough to hack | ✓ | ✓

tough to steal | ✗ | ✓

no second device required | ✗ | ✓

fast | ✗ | ✓

enjoyable | ✗ | ✓

## Under the bonnet

- On a system where TuneFactor is used, the user has to link their account with their Spotify account (the algorithm is easily extensible to other music sources and datasets too).

- Once the user logs in, the program picks three songs and tries to predict the order the user will rank them in. The user then ranks the songs.

- The program stores an internal probability of how likely the user is to be who they say they are. This probability is affected by the user's ranking of the songs.

  - If the probability is judged insufficient by the program, the user is asked to rank the songs again.

  - If the probability is high enough, the user is logged in.

  - If the probability is too low or there have been too many attempts, the user is locked out.