Intrusion-and-anomaly-detection-with-machine-learning
Machine learning algorithms applied on log analysis to detect intrusions and suspicious activities.
slrbl/Intrusion-and-anomaly-detection-with-machine-learning
View on GitHub ↗Machine learning algorithms applied on log analysis to detect intrusions and suspicious activities.
Intrusion-and-anomaly-detection-with-machine-learning grew +1.8% in the last 30 days, ranks 718th of 1,143 in Domain-Specific Apps, actively maintained, last commit 3 days ago.
Star trajectory
80 days tracked+1.8% in 30d, below the Domain-Specific Apps median of +3.0%.
Last commit 3 days ago, fresher than the median of 11d.
How it compares in Domain-Specific Apps
Ranked 718th of 1,143 by stars.
- Language
- Python
- License
- MIT License
- Contributors
- 8
- Forks
- 74
- Watchers
- 4
- Open issues
- 0
- Releases
- 0
- Created
- 2017-03-04
- Stars this week
- +0
You've seen where Intrusion-and-anomaly-detection-with-machine-learning stands today.
Get the moves before everyone else: the 5 Domain-Specific Apps repos climbing fastest, every Tuesday.
Free weekly digest. Double opt-in, unsubscribe anytime.
Maintain Intrusion-and-anomaly-detection-with-machine-learning?
Claim this page to add your own call-to-action.
Claim this page