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@ait-aecid

AECID

Automatic Event Correlation for Incident Detection

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  1. logdata-anomaly-miner Public

    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 suitab…

    Python 79 24

  2. anomaly-detection-log-datasets Public

    Analysis scripts for log data sets used in anomaly detection.

    Python 57 6

  3. kyoushi-environment Public

    Scripts to deploy virtual testbed for log data analysis and anomaly detection.

    Jinja 23 5

  4. aecid-alert-aggregation Public

    A method for grouping, clustering, and merging semi-structured alerts

    Python 24 5

  5. alert-data-set Public

    Scripts to generate and analyze the AIT alert data set (AIT-ADS)

    Python 20 1

  6. caraxes Public

    Academic research rootkit using ftrace-hooking to hide files and processes via magic word or user/group. Tested until Linux 6.11.

    C 10

Repositories

Showing 10 of 36 repositories
  • caraxes Public

    Academic research rootkit using ftrace-hooking to hide files and processes via magic word or user/group. Tested until Linux 6.11.

    C 10 GPL-3.0 0 0 0 Updated Mar 10, 2025
  • comparison-fed-centr-efficient-ad Public
    Python 1 GPL-3.0 0 0 0 Updated Mar 10, 2025
  • rootkit-detection-ebpf-time-trace Public

    Detection of rootkit file hiding activities through analysis of shifts in kernel function execution times.

    Python 4 GPL-3.0 1 0 0 Updated Mar 7, 2025
  • aminer-ansible Public

    Ansible-Role for the logdata-anomaly-miner

    3 2 0 1 Updated Mar 4, 2025
  • log-gym Public

    Anomaly detection challenges for log data

    Jupyter Notebook 0 GPL-3.0 0 0 0 Updated Feb 24, 2025
  • aminer-configuration-engine Public

    This code allows to generate configurations for the logdata-anomaly-miner (AMiner) based on static log file analysis.

    Python 1 GPL-3.0 0 0 0 Updated Nov 27, 2024
  • log-preprocessor Public

    This repository contains methods to prepare log data for analysis (extract values, split train/test, etc.)

    Jupyter Notebook 1 2 0 0 Updated Nov 19, 2024
  • logdata-anomaly-miner Public

    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.

    Python 79 GPL-3.0 24 30 8 Updated Nov 18, 2024
  • aecid-alert-aggregation Public

    A method for grouping, clustering, and merging semi-structured alerts

    Python 24 GPL-3.0 5 1 0 Updated Nov 15, 2024
  • evaluation-suite Public
    Roff 0 GPL-3.0 0 0 0 Updated Oct 24, 2024
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