PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).
Implementation of MTAD-GAT: Multivariate Time-series Anomaly Detection via Graph Attention Network
IDPS-ESCAPE (Intrusion Detection and Prevention System - Enhanced Security through a Cooperative Anomaly Prediction Engine), part of project CyFORT: open-source SOAR system powered by a Risk-aware Anomaly Detection-based Automated Response (RADAR) subsystem and a deep learning-based AD subsystem (SONAR), integrated with Wazuh, Flowintel, Suricata
MLflow version of MTAD-GAT
Workflow for training & deploying an anomly detection model based on MTAD-GAT-mlflow
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