fkie-cad / ipal_datasets
Industrial datasets - datasets for evaluating industrial intrusion detection systems on IPAL.
☆43Updated 3 weeks ago
Alternatives and similar repositories for ipal_datasets:
Users that are interested in ipal_datasets are comparing it to the libraries listed below
- Anomaly Detection for SWaT Dataset using Sequence-to-Sequence Neural Networks☆47Updated 5 years ago
- Modbus Dataset from CSET 2016☆46Updated 2 years ago
- Develope novel security metric using Deep-Learning to detect anomaly attacks into the critical infrastructure systems. This metric will b…☆35Updated 5 years ago
- Industrial Intrusion Detection - A framework for protocol-independent industrial intrusion detection on top of IPAL.☆23Updated last month
- ☆21Updated 4 years ago
- Implementation of Robust Transformer Based Intrusion Detection, based on the Paper by Wu et. Al☆22Updated 6 months ago
- ☆19Updated 3 years ago
- Unofficial implementation of the KDD2020 paper "USAD: UnSupervised Anomaly Detection on multivariate time series" on two datasets cited i…☆59Updated 2 years ago
- In this work, we aim at developing a NIDS (Network Intrusion Detection System) that detects attacks targeting SCADA systems, in a concret…☆68Updated 2 years ago
- Library of ML-based attribution methods for ICS anomaly detection. From the NDSS 2024 paper: "Attributions for ML-based ICS anomaly detec…☆13Updated last year
- A tool for data preprocess on iTrust SWaT dataset.☆41Updated 2 years ago
- A PyTorch implementation of of Anomal-E.☆33Updated 2 years ago
- Code for the paper "Anomaly-Based Intrusion Detection in IIoT Networks Using Transformer Models"☆33Updated 2 years ago
- Development of a transfer learning system for the detection of cyber-attacks in 5G and IoT networks. Transfer learning will improve the a…☆14Updated 2 years ago
- This is the source code of "Intrusion Detection of Industrial Internet-of-Things Based on Reconstructed Graph Neural Networks"☆11Updated last year
- ☆78Updated last year
- convGRU based autoencoder for unsupervised & spatial-temporal anomaly detection in computer network (PCAP) traffic.☆17Updated last year
- A Deep Learning Based Intrusion Detection System for IIoT Networks☆10Updated 8 months ago
- This project is an open-source project based on a GAN network anomaly detection.☆13Updated 7 months ago
- Code for KDD 2021 paper "Multi-Scale One-Class Recurrent Neural Networks \\for Discrete Event Sequence Anomaly Detection"☆18Updated 3 years ago
- NEGSC☆36Updated 10 months ago
- Payload-Byte is a tool for extracting and labeling packet capture (Pcap) files of modern network intrusion detection datasets.☆35Updated 8 months ago
- HIL-based Augmented ICS (HAI) Security Dataset☆149Updated last year
- IoT Attack Detection with machine learning☆25Updated 9 months ago
- A research project of anomaly detection on dataset IoT-23☆98Updated 6 months ago
- Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications (CCS'21)☆71Updated 3 years ago
- CANShield: Deep Learning-Based Intrusion Detection Framework for Controller Area Networks at the Signal-Level☆14Updated 2 weeks ago
- ramyaelineni5 / ML-based-Network-Intrusion-Detection-using-Cyber-Dataset-CSE-CIC-IDS2018-to-classify-network-attacks☆43Updated 4 years ago
- A GAN-based model focused on anomaly detection in discrete dataset☆26Updated 5 years ago
- manojkumar-github / Intrusion-Detection-System-for-IoT-networks-using-Gated-Recurrent-Neural-Networks-GRUAn Intelligent Intrusion Detection System for IoT networks using Gated Recurrent Neural Networks (GRU) : A Deep Learning Approach☆33Updated 6 years ago