lixiangwang / DAGMM-pytorch
☆71Updated 4 years ago
Alternatives and similar repositories for DAGMM-pytorch:
Users that are interested in DAGMM-pytorch are comparing it to the libraries listed below
- A GAN-based model focused on anomaly detection in discrete dataset☆26Updated 5 years ago
- Anomaly Detection for SWaT Dataset using Sequence-to-Sequence Neural Networks☆47Updated 5 years ago
- Code for KDD 2021 paper "Multi-Scale One-Class Recurrent Neural Networks \\for Discrete Event Sequence Anomaly Detection"☆18Updated 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
- ☆10Updated last year
- the DL methods used are : DNN, CNN, LSTM, GRU, CNN-LSTM, CNN-GRU, CNN-BiLSTM, CNN-BiGRU, the dataset used is : imbalanced NSL-KDD (KDDTra…☆43Updated 2 years ago
- ☆89Updated last year
- Code for KDD' 21 paper: Time Series Anomaly Detection for Cyber-physical Systems via Neural System Identification and Bayesian Filtering☆41Updated 2 years ago
- NEGSC☆36Updated 10 months ago
- ☆19Updated 2 months ago
- Code for paper: Contrastive Learning Enhanced Intrusion Detection☆16Updated last year
- 本项目是论文《F-SE-LSTM: A Time Series Anomaly Detection Method with Frequency Domain Information》的实验代码，实现了多种时间序列异常检测模型，并构建一个异常检测方法。☆16Updated 3 months ago
- A PyTorch implementation of of Anomal-E.☆33Updated 2 years ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆68Updated 4 years ago
- 这是一个封装了KDDCup99、NSL-KDD、UNSW-NB15等入侵监测数据集的Python包。☆45Updated 4 years ago
- ☆21Updated 4 years ago
- We use attention model for intrusion detection. The idea of Hierarchical Attention Model for Intrusion Detection comes from the applicat…☆12Updated 4 years ago
- This project is an open-source project based on a GAN network anomaly detection.☆13Updated 7 months ago
- A Comparative Study on Unsupervised Anomaly Detection forTime Series☆9Updated 3 years ago
- ☆40Updated 2 years ago
- Implementation of "ConFlow: Contrast Network Flow Improving Class-Imbalanced Learning in Network Intrusion Detection"☆13Updated 2 years ago
- Code support as a published paper！☆46Updated 11 months ago
- ☆16Updated 4 years ago
- IDS abnormal traffic detection tensorflow☆39Updated 5 years ago
- Distributed intelligent malicious traffic detection system based on GAN☆18Updated 4 years ago
- Replication files for arXiv:1803.10769 Network Traffic Anomaly Detection Using Recurrent Neural Networks☆22Updated 6 years ago
- This repository is a proof of concept of algorithms described in T-DFNN: An Incremental Learning Algorithm for Intrusion Detection System…☆14Updated 2 years ago
- ☆28Updated 9 months ago
- A robust and noisy-resilient anomaly detection method by explicitly learning the representations of time-invariant and time-varying chara…☆17Updated 4 years ago
- KDD 2021: Multivariate Time Series Anomaly Detection and Interpretation using Hierarchical Inter-Metric and Temporal Embedding☆214Updated 3 years ago