TanvirHimel / Netwrok-Traffic-Classification-Using-TIme-Related-Features
In this work different types of network traffic such as: email, chat, browsing etc were classified using time related features. The main reasn behind using time related features is that they are encryption independent. For classification both ensemble learning and machine learning techniques were used. Here ISCXVPN 2016 dataset was used and to c…
☆12Updated 5 years ago
Alternatives and similar repositories for Netwrok-Traffic-Classification-Using-TIme-Related-Features:
Users that are interested in Netwrok-Traffic-Classification-Using-TIme-Related-Features are comparing it to the libraries listed below
- Code for “MaMPF: Encrypted Traffic Classification Based on Multi-Attribute Markov Probability Fingerprints”☆19Updated 4 years ago
- Implementation of "How to Achieve High Classification Accuracy with Just a Few Labels: A Semi-supervised Approach Using Sampled Packets"☆33Updated 6 years ago
- Self-attentive deep learning method for online traffic classification and its interpretability (CN21 & NetAI20)☆37Updated 10 months ago
- using 2d-cnn to classify network traffic☆20Updated 5 years ago
- Encrypted traffic classification use CNN☆33Updated 4 years ago
- FS-Net: A Flow Sequence Network For Encrypted Traffic Classification☆44Updated 4 years ago
- cool project☆19Updated 4 years ago
- 多进程读取pcap,基于五元组分流并提取流量特征。结果输出为csv文件,用于机器学习中对加密流量进行分类☆89Updated 2 years ago
- Encrypted Network Traffic Classification using Deep Learning☆51Updated last year
- Code for “FS-Net: A Flow Sequence Network For Encrypted Traffic Classification”☆95Updated 4 years ago
- Multitask Learning Approach for Network Traffic Classification☆55Updated 5 years ago
- Code for Intrusion Detection Systems and Encrypted Traffic Classification [No Further Updates]☆37Updated 3 years ago
- Analysis of the ISCX VPN-nonVPN Dataset 2016 for Encrypted Network Traffic Classification☆85Updated last year
- Extracting data and analyzing the network traffic flow☆12Updated 6 years ago
- 网络流量分类对比方法汇总☆172Updated last year
- The use of machine learning to classify network traffic☆38Updated 4 years ago
- Wang Wei's End-to-end encrypted traffic classification with one-dimensional convolution neural networks (scripts and article))☆30Updated 4 years ago
- ☆58Updated 2 years ago
- Implementation of AppScanner☆41Updated 2 years ago
- IDS abnormal traffic detection tensorflow☆39Updated 5 years ago
- 论文:A Deep Hierarchical Network for Packet-Level Malicious Traffic Detection的源代码☆26Updated 3 years ago
- 收集了部分将机器学习应用于网络流量分类的论文☆166Updated 4 years ago
- ☆50Updated 3 months ago
- Cyber-attack classification in the network traffic database using NSL-KDD dataset☆26Updated 4 years ago
- Implementation of a multi-task model for encrypted network traffic classification based on transformer and 1D-CNN.☆31Updated last year
- This platform is designed and implemented for encrypted traffic classification using deep learning☆13Updated last year
- CICIDS2017 dataset☆69Updated 3 years ago
- Code and dataset for AppScanner☆28Updated 7 years ago
- using deep learning to classify the encrypted network traffic☆159Updated 4 years ago
- ☆22Updated 3 years ago