WM-JayLab / NetBench
Related code and datasets on NetBench: A Large-Scale and Comprehensive Network Traffic Benchmark Dataset for Foundation Models
☆17Updated 6 months ago
Related projects: ⓘ
- Packet Representation Learning for Traffic Classification☆26Updated last year
- Accurate Mobile-App Fingerprinting Using Flow-level Relationship with Graph Neural Networks☆14Updated 2 years ago
- Anomaly Detection in the Open World: Normality Shift Detection, Explanation, and Adaptation (NDSS'23).☆57Updated 11 months ago
- ☆11Updated 2 years ago
- ☆16Updated 11 months ago
- ☆12Updated last year
- Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications (CCS'21)☆69Updated 2 years ago
- ☆20Updated last year
- tcbench is a Machine Learning and Deep Learning framework to train model from traffic packet time series or other input representations.☆20Updated 10 months ago
- [CIKM 2022] Towards Automated Over-Sampling for Imbalanced Classification☆10Updated last year
- Rule Extraction from Unsupervised Anomaly Detection in Security☆13Updated 6 months ago
- Enhancing Robustness Against Adversarial Examples in Network Intrusion Detection Systems☆16Updated 3 years ago
- AI/ML and Cybersecurity: The Emperor has no Clothes☆15Updated 11 months ago
- This is the source code of "Intrusion Detection of Industrial Internet-of-Things Based on Reconstructed Graph Neural Networks"☆12Updated 8 months ago
- Repository for IEEE CCNC'21 paper titled "Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network".☆42Updated last year
- FARE: Enabling Fine-grained Attack Categorization under Low-quality Labeled Data☆24Updated 2 years ago
- Code for the AAAI'23 paper "Yet Another Traffic Classifier: A Masked Autoencoder Based Traffic Transformer with Multi-Level Flow Represen…☆45Updated 4 months ago
- ☆45Updated 2 months ago
- Development of a transfer learning system for the detection of cyber-attacks in 5G and IoT networks. Transfer learning will improve the a…☆12Updated 2 years ago
- NEGSC☆21Updated 3 months ago
- FL-based intrusion detection system development using model averaging.☆28Updated last year
- ☆13Updated last year
- SpreadGNN: Serverless Multi-Task Learning Framework for Graph Neural Networks. Accepted to AAAI22.☆44Updated 2 years ago
- Source code for the paper: Adaptive Clustering-based Malicious Traffic Classification at the Network Edge (https://homepages.inf.ed.ac.uk…☆30Updated 3 years ago
- FOSS: Towards Fine-Grained Unknown Class Detection against the Open-Set Attack Spectrum with Variable Legitimate Traffic☆8Updated last year
- code implementation for paper: A Novel Multimodal Deep Learning Framework for Encrypted Traffic Classification☆33Updated last year
- A PyTorch implementation of of Anomal-E.☆30Updated last year
- EBSNN: Extended Byte Segment Neural Network for Network Traffic Classification☆12Updated 3 years ago
- A PyTorch implementation of of E-GraphSAGE.☆68Updated 2 years ago
- ☆12Updated 2 months ago