Causal Discovery in Python. It also includes (conditional) independence tests and score functions.

This is the Network Flow Generator for ICSSIM

AKGR: Awesome Knowledge Graph Reasoning is a collection of knowledge graph reasoning works, including papers, codes and datasets

Mappings Explorer enables cyber defenders to understand how security controls and capabilities map onto the adversary behaviors catalogued in the MITRE ATT&CK® knowledge base. These mappings form a…

Open source implementation of OPC UA (OPC Unified Architecture) aka IEC 62541 licensed under Mozilla Public License v2.0

Unofficial Implementation of Long-term Forecasting with TiDE: Time-series Dense Encoder

MiniCPS: a framework for Cyber-Physical Systems real-time simulation, built on top of mininet

Version 2 of the Graphical Realism Framework for Industrial Control Simulation (GRFICS)

PIKACHU: Temporal Walk Based Dynamic Graph Embedding for Network Anomaly Detection

Sintef Digital Twin

SPADE: Support for Provenance Auditing in Distributed Environments

[AAAI23] Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks

Source Code for Paper "DAGAD: Data Augmentation for Graph Anomaly Detection" ICDM 2022

The paper "Deep Graph Level Anomaly Detection with Contrastive Learning" has been accepted by Scientific Reports Journal.

This is the ICSSIM source code and user manual for simulating industrial control system testbed for cybersecurity experiments

The official PyTorch implementation of Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment (AAAI2023, to appear).

[NeurIPS 2022] The official PyTorch implementation of "Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dynamic Graphs"

DWSIM is a Steady-State and Dynamic Sequential Modular Chemical Process Simulator for Windows, Linux and macOS.

Graph Convolutional Adversarial Networks for Spatio-Temporal Anomaly Detection

TKDE'22-GraphCAD: https://arxiv.org/pdf/2108.07516.pdf

Small and highly portable detection tests based on MITRE's ATT&CK.

Procmon is a Linux reimagining of the classic Procmon tool from the Sysinternals suite of tools for Windows. Procmon provides a convenient and efficient way for Linux developers to trace the syscal…

Automated Security Risk Identification Using AutomationML-based Engineering Data

Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We…

App for taking notes and tracking tasks on a daily basis

HIL-based Augmented ICS (HAI) Security Dataset

Context augmented Graph Autoencoder for traffic anomaly detection