skopikf

Austrian Institute of Technology

Pinned Repositories

logdata-anomaly-miner
This tool parses log data and allows to define analysis pipelines for anoamly detection. It was designed to run the analysis with limited resources and lowest possible permissions to make it suitable for production server use.
Language:Python00
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.
Language:Python8024
kyoushi-environment
Scripts to deploy virtual testbed for log data analysis and anomaly detection.
Language:Jinja215
aecid-alert-aggregation
A method for grouping, clustering, and merging semi-structured alerts
Language:Python195
attackbed
The AttackBed is a simulated enterprise network with numerous vulnerabilities. Attacks in this testbed are executed automatically and cover a variety of tactics and techniques of the MITRE ATT&CK enterprise framework.
Language:Jinja51
aecid-parsergenerator
Automatically create parser trees for textual logdata to facilitate analysis
Language:Python43
aecid-incremental-clustering
An efficient method for clustering log data
Language:Python22

skopikf/logdata-anomaly-miner
This tool parses log data and allows to define analysis pipelines for anoamly detection. It was designed to run the analysis with limited resources and lowest possible permissions to make it suitable for production server use.