OrangeUW / AutoML4ETCLinks
AutoML4ETC, a tool to automatically design efficient and high-performing neural architectures for encrypted traffic classification.
☆12Updated last year
Alternatives and similar repositories for AutoML4ETC
Users that are interested in AutoML4ETC are comparing it to the libraries listed below
Sorting:
- 🛜→🖼️ Replication of the model set forth in "FlowPic: Encrypted Internet Traffic Classification is as Easy as Image Recognition" by Tal …☆16Updated 5 years ago
- ☆19Updated last year
- ☆10Updated 2 years ago
- ☆14Updated 4 years ago
- ☆20Updated 4 years ago
- The data for paper of `Mobile-app Identification over Drifted Encrypted Network Traffic with Zero-relabeling`.☆12Updated 2 years ago
- ☆18Updated 2 years ago
- SPPNet: An Appoach For Real-Time Encrypted Traffic Classification Using Deep Learning☆10Updated last year
- Accurate Mobile-App Fingerprinting Using Flow-level Relationship with Graph Neural Networks☆29Updated 3 years ago
- ☆10Updated 2 years ago
- ☆19Updated last year
- ☆31Updated 2 years ago
- ☆30Updated 2 months ago
- Code for the paper: "AOC-IDS: Autonomous Online Framework with Contrastive Learning for Intrusion Detection" (Infocom 2024)☆31Updated last year
- ☆21Updated 5 years ago
- EBSNN: Extended Byte Segment Neural Network for Network Traffic Classification☆18Updated 4 years ago
- A tunneled flooding traffic detection system.☆30Updated last year
- ☆24Updated 3 years ago
- code implementation for paper: A Novel Multimodal Deep Learning Framework for Encrypted Traffic Classification☆59Updated 2 years ago
- ☆12Updated 3 years ago
- Packet Representation Learning for Traffic Classification☆32Updated last year
- The repository of FastTraffic, A lightweight method for encrypted traffic fast classification.☆24Updated last year
- FS-Net: A Flow Sequence Network For Encrypted Traffic Classification☆47Updated 5 years ago
- ☆11Updated 2 years ago
- An intrusion detection system model developed using CNN and Bi-LSTM.☆13Updated 3 years ago
- This platform is designed and implemented for encrypted traffic classification using deep learning☆18Updated 2 years ago
- Encrypted Network Traffic Classification using Deep Learning☆61Updated last year
- Payload-Byte is a tool for extracting and labeling packet capture (Pcap) files of modern network intrusion detection datasets.☆47Updated last year
- One Train for Two Tasks: An Encrypted Traffic Classification Framework Using Supervised Contrastive Learning☆51Updated last year
- ☆81Updated last year