Our team is excited to share the latest news and features of Slips, our behavioral-based machine learning intrusion detection system.
Quick links:
Download Slips from our GitHub repository: https://github.com/stratosphereips/StratosphereLinuxIPS
Access Slips documentation through Read the Docs: https://stratospherelinuxips.readthedocs.io/en/develop/
What We Are Particularly Excited About
In this release we are particularly excited about these new Slips features:
- Add the HTTPS anomaly detection module with adaptive baselines, confidence scoring, and detailed evidence reasons.
- Enable ADWIN drift detection by default for HTTPS anomaly detection, with separate hourly and flow drift paths.
- Add a local HTML report generator for HTTPS anomaly detection logs, with interactive charts and anomaly summaries.
- Improve performance under high-throughput traffic and reduce OOM risk.
- Improve Redis memory hygiene with tighter TTLs, capped zsets, and periodic cleanups.
- Improve the speed of the HTTP Analyzer module.
Check the full list of changes in our release page: https://github.com/stratosphereips/StratosphereLinuxIPS/releases/tag/v1.1.18
Learn more!
Wondering what Slips is capable of? Check out these demo presentations:
LCN conference in 2021: https://youtu.be/1KqwlxVuf48
BlackHat USA Arsenal 2022: https://youtu.be/dJuTmi2bJcI
How to contribute
For those interested in contributing to Slips:
https://stratospherelinuxips.readthedocs.io/en/develop/contributing.html
https://www.stratosphereips.org/blog/2022/6/6/writing-a-slips-module
https://stratospherelinuxips.readthedocs.io/en/develop/slips_in_action.html
Get in Touch
Feel free to join our Discord server and ask questions, suggest new features or give us feedback. PRs and Issues are welcomed in our repo.