Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Midas | 747 | 4 months ago | 2 | apache-2.0 | C++ | |||||
Anomaly Detection on Dynamic (time-evolving) Graphs in Real-time and Streaming manner. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies. | ||||||||||
Pysad | 200 | 1 | 7 months ago | 3 | October 06, 2023 | 1 | bsd-3-clause | Python | ||
Streaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data) | ||||||||||
Mstream | 98 | 4 months ago | apache-2.0 | C++ | ||||||
Anomaly Detection on Time-Evolving Streams in Real-time. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies. | ||||||||||
Cyber Security | 89 | 2 years ago | 1 | Jupyter Notebook | ||||||
Machine Learning for Network Intrusion Detection & Misc Cyber Security Utilities | ||||||||||
Anograph | 68 | 4 months ago | apache-2.0 | C++ | ||||||
Sketch-Based Anomaly Detection in Streaming Graphs | ||||||||||
Logdata Anomaly Miner | 53 | 5 months ago | 31 | gpl-3.0 | Python | |||||
This tool parses log data and allows to define analysis pipelines for anomaly detection. It was designed to run the analysis with limited resources and lowest possible permissions to make it suitable for production server use. | ||||||||||
Zeek_anomaly_detector | 51 | 9 months ago | 3 | gpl-2.0 | Python | |||||
A completely automated anomaly detector Zeek network flows files (conn.log). | ||||||||||
Malicious Urls Detection With Autoencoder Neural Networks | 29 | 2 years ago | mit | Python | ||||||
Detecting malicious URLs using an autoencoder neural network | ||||||||||
Ipal_ids_framework | 17 | 4 months ago | 1 | mit | Python | |||||
Industrial Intrusion Detection - A framework for protocol-independent industrial intrusion detection on top of IPAL. | ||||||||||
Alert Data Set | 10 | 4 months ago | gpl-3.0 | Python | ||||||
Scripts to generate and analyze the AIT alert data set (AIT-ADS) |