cx0113 / fine-grained-unknown-attack-detectionLinks
☆19Updated 4 years ago
Alternatives and similar repositories for fine-grained-unknown-attack-detection
Users that are interested in fine-grained-unknown-attack-detection are comparing it to the libraries listed below
Sorting:
- ☆26Updated last year
- Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications (CCS'21)☆73Updated 3 years ago
- Source code for the paper: Adaptive Clustering-based Malicious Traffic Classification at the Network Edge (https://homepages.inf.ed.ac.uk…☆37Updated 4 years ago
- ☆22Updated 3 years ago
- Low-Quality Training Data Only? A Robust Framework for Detecting Encrypted Malicious Network Traffic☆58Updated 9 months ago
- source code for USENIX Security paper xNIDS☆52Updated last year
- One Train for Two Tasks: An Encrypted Traffic Classification Framework Using Supervised Contrastive Learning☆48Updated last year
- ☆14Updated last year
- ☆30Updated last year
- Encrypted Network Traffic Classification using Deep Learning☆56Updated last year
- EBSNN: Extended Byte Segment Neural Network for Network Traffic Classification☆18Updated 4 years ago
- ☆18Updated last year
- Accurate Mobile-App Fingerprinting Using Flow-level Relationship with Graph Neural Networks☆27Updated 3 years ago
- PyTorch implementation of the paper "Privacy-preserving Few-shot Traffic Detection against Advanced Persistent Threats via Federated Meta…☆19Updated last year
- [WWW'23] TFE-GNN: A Temporal Fusion Encoder Using Graph Neural Networks for Fine-grained Encrypted Traffic Classification☆101Updated 9 months ago
- An automatic packet crafting tool for evading learning-based NIDS☆83Updated 3 years ago
- ☆20Updated 4 years ago
- The repository of FastTraffic, A lightweight method for encrypted traffic fast classification.☆20Updated 9 months ago
- Implementation of AppScanner☆43Updated 3 years ago
- ☆14Updated last month
- Code for paper: Contrastive Learning Enhanced Intrusion Detection☆18Updated 2 years ago
- code implementation for paper: A Novel Multimodal Deep Learning Framework for Encrypted Traffic Classification☆57Updated 2 years ago
- This platform is designed and implemented for encrypted traffic classification using deep learning☆17Updated 2 years ago
- 🛜→🖼️ Replication of the model set forth in "FlowPic: Encrypted Internet Traffic Classification is as Easy as Image Recognition" by Tal …☆16Updated 4 years ago
- FS-Net: A Flow Sequence Network For Encrypted Traffic Classification☆47Updated 5 years ago
- ☆88Updated last year
- Implementation of "ConFlow: Contrast Network Flow Improving Class-Imbalanced Learning in Network Intrusion Detection"☆14Updated 3 years ago
- It is a network traffic classifier based on deep learning.☆47Updated last year
- ☆17Updated 3 years ago
- ☆46Updated 3 years ago