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GitHub / ait-aecid / logdata-anomaly-miner
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.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ait-aecid%2Flogdata-anomaly-miner
Stars: 63
Forks: 22
Open Issues: 35
License: gpl-3.0
Language: Python
Repo Size: 49.9 MB
Dependencies:
20
Created: about 4 years ago
Updated: about 2 months ago
Last pushed: about 2 months ago
Last synced: about 2 months ago
Topics: anomaly, anomaly-detection, cybersecurity, detection, hids, ids, intrusion-detection, linux, log-analysis, logdata, logging, python, security
Files
Dependencies
- recommonmark *
- sphinx ==3.5.1
- sphinx_rtd_theme ==0.5.1
- Cerberus ==1.3.2
- PyYAML ==5.4
- kafka ==1.3.5
- kafka_python ==2.0.2
- numpy ==1.21.0
- psutil ==5.7.3
- pylibacl ==0.5.4
- python_dateutil ==2.8.1
- pytz ==2020.4
- pyzmq ==20.0.0
- scipy ==1.5.4
- statsmodels ==0.12.2
- urllib3 ==1.26.5
- debian bullseye build
- debian bullseye build
- aitaecid/akafka latest
- docker.vectorized.io/vectorized/redpanda latest