Alternatives and similar repositories for MAML-CNN-FSIDS-IoT

Users that are interested in MAML-CNN-FSIDS-IoT are comparing it to the libraries listed below

• mandersch / RTIDS
  Implementation of Robust Transformer Based Intrusion Detection, based on the Paper by Wu et. Al
  ☆22Updated 9 months ago
• RFG-HELAD / RFG-HELAD
  ☆13Updated last year
• yue123161 / Paper_TNSM
  Code for paper: Contrastive Learning Enhanced Intrusion Detection
  ☆18Updated 2 years ago
• cx0113 / fine-grained-unknown-attack-detection
  ☆18Updated 4 years ago
• tuanhong3498 / Evaluation-of-Machine-Learning-Algorithm-in-Network-Based-Intrusion-Detection-System
  ☆9Updated 2 years ago
• othmbela / dbn-based-nids
  An Intrusion Detection System based on Deep Belief Networks
  ☆83Updated 2 years ago
• waimorris / Anomal-E
  A PyTorch implementation of of Anomal-E.
  ☆34Updated 2 years ago
• NLear / Flow-MAE
  ☆24Updated last year
• jogecodes / transformerAD
  Code for the paper "Anomaly-Based Intrusion Detection in IIoT Networks Using Transformer Models"
  ☆33Updated 2 years ago
• ghosh64 / transferability
  Improving Transferability of Network Intrusion Detection in a Federated Learning Setup
  ☆12Updated last year
• polvalls9 / Transfer-Learning-Based-Intrusion-Detection-in-5G-and-IoT-Networks
  Development of a transfer learning system for the detection of cyber-attacks in 5G and IoT networks. Transfer learning will improve the a…
  ☆13Updated 2 years ago
• spttt / Per-FedAvg-APT
  PyTorch implementation of the paper "Privacy-preserving Few-shot Traffic Detection against Advanced Persistent Threats via Federated Meta…
  ☆16Updated last year
• meryemJanatiIdrissi / Fed-ANIDS
  ☆9Updated 2 years ago
• ZhangJiTaoA / An-Intrusion-Detection-Model-with-Transformer-BiLSTM
  ☆42Updated 2 years ago
• ANRGUSC / correlation_aware_ddos_iot
  Correlation Aware DDoS Detection In IoT Systems
  ☆9Updated last year
• BNN-UPC / GNN-NIDS
  ☆48Updated 3 years ago
• HanishDhanwalkar / DRL-for-Intrusion-Detection-using-VAE-Reduced-State-Space
  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
• AshinWang / ConFlow
  Implementation of "ConFlow: Contrast Network Flow Improving Class-Imbalanced Learning in Network Intrusion Detection"
  ☆13Updated 3 years ago
• yuanshuai666 / CANET
  CANET: An Effective CNN-Attention Model for Network Intrusion Detection
  ☆34Updated 2 years ago
• racsa-lab / Edge-Detect
  Repository for IEEE CCNC'21 paper titled "Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network".
  ☆46Updated last year
• universuen / TMG-GAN
  ☆15Updated 2 years ago
• zhang-hongpo / SGM-CNN
  Our implementations of the flow-based network intrusion detection model (for the COMNET paper)
  ☆46Updated 5 years ago
• Kyanji / MAGNETO
  ☆20Updated 4 months ago
• pajola / XeNIDS
  Official repository of the paper "The Cross-evaluation of Machine Learning-based Network Intrusion Detection Systems".
  ☆9Updated 3 years ago
• abhi-jith23 / Intrusion-Detection-System-using-DL
  An intrusion detection system model developed using CNN and Bi-LSTM.
  ☆13Updated 3 years ago
• AnushManglani / Anomaly-based-Intrusion-Detection-System
  Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.
  ☆35Updated 4 years ago
• mehdiseydali / CBS
  This platform is designed and implemented for encrypted traffic classification using deep learning
  ☆13Updated last year
• munhouiani / LuNet
  Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection
  ☆52Updated 5 years ago
• chenxu93 / abnormal-traffic
  IDS abnormal traffic detection tensorflow
  ☆39Updated 5 years ago
• sgamage2 / dl_ids_survey
  Deep learning models for network intrusion detection
  ☆37Updated 2 years ago