https://github.com/aunshx/device-fingerprinting

Utilizing Machine Learning and Optimal Hashing to develop unique device fingerprints
https://github.com/aunshx/device-fingerprinting

data-science fingerprinting ml networking security

Last synced: about 1 year ago
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Utilizing Machine Learning and Optimal Hashing to develop unique device fingerprints

• Host: GitHub
• URL: https://github.com/aunshx/device-fingerprinting
• Owner: aunshx
• Created: 2024-05-18T21:27:53.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2024-06-16T00:53:12.000Z (about 2 years ago)
• Last Synced: 2025-01-29T10:29:13.116Z (over 1 year ago)
• Topics: data-science, fingerprinting, ml, networking, security
• Language: Jupyter Notebook
• Homepage: https://aunsh.medium.com/cipherprint-optimizing-machine-learning-and-hashing-to-develop-unique-device-fingerprints-d93ccef21b34
• Size: 36.8 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          

# CipherPrint

![Logo](https://i.postimg.cc/GpXtQSd8/Cipher-Print-2.png)

Utilizing Machine Learning and Optimal Hashing to develop unique device fingerprints

Read more about the project [here](https://aunsh.medium.com/cipherprint-optimizing-machine-learning-and-hashing-to-develop-unique-device-fingerprints-d93ccef21b34).

## Tech Stack

**Tech:** Python, sklearn

## Authors

- [@aunshx](https://www.github.com/aunshx)

- [@DJ200148](https://www.github.com/DJ200148)

- Connor Ye

## Details 

- Designed and developed at the Department of Electrical and Computer Engineering @ University of California, Davis in spring '24.

## Contributing

Contributions are always welcome!

Send us an email at _aunsh@ucdavis.edu_ if you would like to contribute to this project.

## License

[MIT](https://choosealicense.com/licenses/mit/)