BNN-UPC / GNN-NIDS

Related projects ⓘ

Alternatives and complementary repositories for GNN-NIDS

• waimorris / E-GraphSAGE
  A PyTorch implementation of of E-GraphSAGE.
  ☆75Updated 2 years ago
• waimorris / Anomal-E
  A PyTorch implementation of of Anomal-E.
  ☆30Updated last year
• George730 / E-ResGAT
  The pytorch implementation of E-GraphSAGE and E-ResGAT, two solutions for intrusion detection.
  ☆64Updated 3 years ago
• renj-xu / NEGSC
  NEGSC
  ☆29Updated 5 months ago
• ViktorAxelsen / TFE-GNN
  WWW'23 Research Paper: TFE-GNN: A Temporal Fusion Encoder Using Graph Neural Networks for Fine-grained Encrypted Traffic Classification
  ☆65Updated 8 months ago
• zuluokonkwo / Encrypted-Network-Traffic-Classification-with-Higher-Order-Graph-Neural-Network
  code repository for the the paper "Encrypted Network Traffic Classification with Higher Order Graph Neural Network"
  ☆25Updated 4 months ago
• hoangntc / TS-IDS
  ☆13Updated last year
• soeai / mappgraph
  Encrypted Network Traffic Classification using Deep Learning
  ☆51Updated 7 months ago
• chenxu93 / abnormal-traffic
  IDS abnormal traffic detection tensorflow
  ☆38Updated 5 years ago
• ArielCyber / OSF-EIMTC
  ☆13Updated 4 months ago
• ViktorAxelsen / CLE-TFE
  One Train for Two Tasks: An Encrypted Traffic Classification Framework Using Supervised Contrastive Learning
  ☆36Updated 8 months ago
• othmbela / dbn-based-nids
  An Intrusion Detection System based on Deep Belief Networks
  ☆73Updated 2 years ago
• nuttysunday / Protocol-Based-Deep-Intrusion-Detection-for-DoS-Normal-and-DDoS-Attacks
  Protocol-Based Deep Intrusion Detection for DoS and DDoS Attacks Using UNSW-NB15 and Bot-IoT Data-Sets
  ☆20Updated 2 years ago
• AshinWang / ConFlow
  Implementation of "ConFlow: Contrast Network Flow Improving Class-Imbalanced Learning in Network Intrusion Detection"
  ☆14Updated 2 years ago
• NLear / Flow-MAE
  ☆19Updated last year
• iZRJ / The-SJTU-AN21-Dataset
  The SJTU-AN21 dataset is an anonymity network dataset generated by ten anonymity services.
  ☆10Updated last year
• sgamage2 / dl_ids_survey
  Deep learning models for network intrusion detection
  ☆33Updated last year
• MovanZhang / TrafficDataofDapps
  ☆17Updated 2 years ago
• cx0113 / fine-grained-unknown-attack-detection
  ☆14Updated 4 years ago
• joejoe233 / TrafficClassification
  using 2d-cnn to classify network traffic
  ☆20Updated 4 years ago
• zhengjuan1996 / GCN-ETA
  ☆11Updated 3 years ago
• Thijsvanede / AppScanner
  Implementation of AppScanner
  ☆40Updated 2 years ago
• Jumabek / net_intrusion_detection
  Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution
  ☆40Updated 5 months ago
• DART-Laboratory / Flash-IDS
  ☆46Updated 6 months ago
• wmn7 / Traffic-Classification
  Code for Intrusion Detection Systems and Encrypted Traffic Classification [No Further Updates]
  ☆32Updated 3 years ago
• tsinghua-fib-lab / NetworkTrafficGeneration
  ☆18Updated 2 years ago
• dongtsi / DeepAID
  Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications (CCS'21)
  ☆71Updated 2 years ago
• hwwzrzr / APT-KGL
  APT-KGL: An Intelligent APT Detection System Based on Threat Knowledge and Heterogeneous Provenance Graph Learning
  ☆59Updated 2 years ago
• FlamingJay / Time-related-Intrusion-Detection-Model-based-on-Recurrent-Neural-Network
  Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.
  ☆66Updated 4 years ago
• PradeepThapa / nsl_kdd_classification
  Cyber-attack classification in the network traffic database using NSL-KDD dataset
  ☆23Updated 4 years ago