lflfdxfn / DPLAN-ImplementationLinks
Paper Implementation
☆27Updated last year
Alternatives and similar repositories for DPLAN-Implementation
Users that are interested in DPLAN-Implementation are comparing it to the libraries listed below
Sorting:
- This repository contains an implementation of an anomaly detection method called DPLAN, which is based on the reinforcement learning fram…☆12Updated 2 years ago
- Using RL for anomaly detection in NSL-KDD☆125Updated 2 years ago
- [ICDM 2020] Meta-AAD: Active Anomaly Detection with Deep Reinforcement Learning☆56Updated 2 years ago
- Repository for IEEE CCNC'21 paper titled "Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network".☆48Updated 2 years ago
- ☆21Updated 5 years ago
- Pytorch implementation of GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection☆29Updated 3 years ago
- Implement a VAE to learn a reduced state space representation from the NSL-KDD dataset, capturing essential features of normal network t…☆14Updated last year
- Code for the paper: "AOC-IDS: Autonomous Online Framework with Contrastive Learning for Intrusion Detection" (Infocom 2024)☆31Updated last year
- This repository is the PyTorch implementation of GAN Ensemble for Anomaly Detection.☆40Updated 4 years ago
- Apply modern, deep learning techniques for anomaly detection to identify network intrusions.☆51Updated last year
- convGRU based autoencoder for unsupervised & spatial-temporal anomaly detection in computer network (PCAP) traffic.☆18Updated last year
- ☆16Updated 3 years ago
- CANET: An Effective CNN-Attention Model for Network Intrusion Detection☆37Updated 2 years ago
- Attention Model for Network Intrusion Detection☆18Updated 6 years ago
- ☆21Updated 3 years ago
- Deep Contrastive One-Class Time Series Anomaly Detection☆37Updated 11 months ago
- ☆65Updated 4 years ago
- Anomaly detection with GAN+RL☆11Updated 7 years ago
- Repository for Content-Aware Transformer☆16Updated 2 years ago
- Anomaly Detection for SWaT Dataset using Sequence-to-Sequence Neural Networks☆52Updated 6 years ago
- Code for the paper: "Supervised contrastive learning over prototype-label embeddings for network intrusion detection"☆15Updated 4 years ago
- ☆74Updated 4 years ago
- Improving Transferability of Network Intrusion Detection in a Federated Learning Setup☆13Updated 2 years ago
- A research project of anomaly detection on dataset IoT-23☆105Updated last year
- PyTorch implementation of Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy☆251Updated 2 years ago
- Official implementation of ARCUS (KDD22)☆30Updated last year
- Implementation of a multi-task model for encrypted network traffic classification based on transformer and 1D-CNN.☆38Updated 2 years ago
- ☆99Updated 2 years ago
- Scripts and utility programs for implementing the USAD architecture.☆258Updated last year
- offical implementation of TKDE paper "Deep isolation forest for anomaly detection"☆110Updated last year