https://github.com/jgamblin/cveprophet

CVE Prophet
https://github.com/jgamblin/cveprophet

Last synced: 2 months ago
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CVE Prophet

• Host: GitHub
• URL: https://github.com/jgamblin/cveprophet
• Owner: jgamblin
• License: mit
• Created: 2021-07-17T19:48:40.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2021-07-18T19:35:24.000Z (over 3 years ago)
• Last Synced: 2024-08-05T17:38:49.672Z (5 months ago)
• Language: Jupyter Notebook
• Size: 4.57 MB
• Stars: 9
• Watchers: 2
• Forks: 3
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# CVE Prophet

I was recently asked if I had ever thought about trying to predict CVE growth.  I had not, or really didn't even know where to start, but after some research, I found the [Prophet project](https://facebook.github.io/prophet/) that is a forecasting algorithm [open-sourced by Facebook](https://research.fb.com/prophet-forecasting-at-scale/) and uses the [GAM family of algorithms](https://en.wikipedia.org/wiki/Generalized_additive_model).

Using prophet with the [NVD data](https://nvd.nist.gov/vuln/data-feeds#JSON_FEED) in a Jupyter notebook was a lot easier than I expected, and for the first iteration, I am thrilled with the outcome.

## Graphs

![Forecast Graph](forecast.jpg)

![ForeCast Changepont Graph](forecast_changepoints.jpg)

## Contributing

Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are **greatly appreciated**.

1. Fork the Project

2. Create your Feature Branch (`git checkout -b feature/AmazingFeature`)

3. Commit your Changes (`git commit -m 'Add some AmazingFeature'`)

4. Push to the Branch (`git push origin feature/AmazingFeature`)

5. Open a Pull Request

## Support

Use the [issues](https://github.com/jgamblin/cveprophet) tab to report any problems or issues.

## License

Distributed under the MIT License. See `LICENSE` for more information.

## Contact

Jerry Gamblin - [@jgamblin](https://twitter.com/jgamblin)