teo-sl / DPLAN_pytorch
This repository contains an implementation of an anomaly detection method called DPLAN, which is based on the reinforcement learning framework. The method is described in the paper "Toward Deep Supervised Anomaly Detection: Reinforcement Learning from Partially Labeled Anomaly Data" by Pang et al.
☆12Updated last year
Alternatives and similar repositories for DPLAN_pytorch:
Users that are interested in DPLAN_pytorch are comparing it to the libraries listed below
- Paper Implementation☆26Updated 10 months ago
- Reinforcement Learning-Based Model Selection for Anomaly Detection (RLMSAD)☆26Updated 2 years ago
- Using RL for anomaly detection in NSL-KDD☆120Updated 2 years ago
- [ICDM 2020] Meta-AAD: Active Anomaly Detection with Deep Reinforcement Learning☆51Updated 2 years ago
- ☆15Updated 2 years ago
- Implement a VAE to learn a reduced state space representation from the NSL-KDD dataset, capturing essential features of normal network t…☆13Updated last year
- ☆73Updated 4 years ago
- Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks☆44Updated 7 months ago
- ☆11Updated last year
- Repository for IEEE CCNC'21 paper titled "Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network".☆46Updated last year
- This is the source code of "Intrusion Detection of Industrial Internet-of-Things Based on Reconstructed Graph Neural Networks"☆11Updated last year
- Code for the paper: "Supervised contrastive learning over prototype-label embeddings for network intrusion detection"☆14Updated 3 years ago
- NEGSC☆38Updated 11 months ago
- ☆21Updated 4 years ago
- ☆19Updated 3 years ago
- A tool for data preprocess on iTrust SWaT dataset.☆44Updated 2 years ago
- Code support as a published paper!☆47Updated last year
- A Deep Learning Based Intrusion Detection System for IIoT Networks☆11Updated 9 months ago
- Unofficial implementation of the KDD2020 paper "USAD: UnSupervised Anomaly Detection on multivariate time series" on two datasets cited i…☆63Updated 2 years ago
- Multivariate Anomaly Detection with GAN (MAD-GAN) PyTorch modern implementation.☆28Updated 2 years ago
- Cyber-attack classification in the network traffic database using NSL-KDD dataset☆26Updated 4 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
- A GAN-based model focused on anomaly detection in discrete dataset☆26Updated 5 years ago
- Official implmentation of AAAI'23 paper 'Detecting Multivariate Time Series Anomalies with Zero Known Label'.☆60Updated 9 months ago
- ⼀个有潜⼒的⽹络⼊侵检测算法,引⼊了乘法注意⼒机制将其融合到 CNN 的分类模型中,在KDD99和UNSM-NB15数据集进行模型的训练结果优于一般机器学习方法和CNN。A promising network intrusion detection algorithm is…☆10Updated last year
- Public datasets for time series anomaly detection☆109Updated 9 months ago
- Network System Intrusion Detection using Graph Neural Networks☆15Updated last year
- Synthesis of Adversarial DDos Attacks Using Tabular Generative Adversarial Networks☆10Updated 2 years ago
- CANTransfer: Transfer learning based intrusion detection on a controller area network using convolutional LSTM network☆12Updated 4 years ago
- A Few-shot Based Model-Agnostic Meta-Learning for Intrusion Detection in Security of Internet of Things☆12Updated 2 months ago