zimingttkx / Network-Security-Based-On-ML
NIPS — Machine-Learning-Based Network Intrusion Prevention System | Kitsune/LUCID integrated | Online unsupervised anomaly detection | Kernel-level real-time traffic interception | FastAPI + CLI management
Why this job: matched by what the repo talks about: security, detection, network, bas
What it does
A server-side IPS that intercepts traffic on Linux, scores each packet through a rule engine plus an anomaly detector, and drops malicious packets via iptables.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 41 days ago
- Stars
- 210
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Python
- 99% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- None
- No issues filed
- Pull requests
- 26 merged
- 0 waiting
- Releases
- None
- Never published
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More: languages, topics and project record
Languages
- Python 99%
- Shell 1%
- Dockerfile <1%
Topics
- beginner-friendly
- cybersecurity
- fastapi
- machine-learning
- ml-project
- python
- scikit-learn
- threat-detection
- web-application
- xgboost
Project record
- JobAI security
- StatusListed
- Commits371
- Forks27
- Watching13
- Stars in 28 days+1
- CreatedJul 3, 2025
- First seen by usNov 7, 2026
- CheckedNov 8, 2026