TejaBlaze / Network_Traffic_Classification
Extracting data and analyzing the network traffic flow
☆12Updated 6 years ago
Alternatives and similar repositories for Network_Traffic_Classification
Users that are interested in Network_Traffic_Classification are comparing it to the libraries listed below
Sorting:
- using 2d-cnn to classify network traffic☆20Updated 5 years ago
- FS-Net: A Flow Sequence Network For Encrypted Traffic Classification☆44Updated 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
- Multitask Learning Approach for Network Traffic Classification☆55Updated 5 years ago
- Encrypted traffic classification use CNN☆33Updated 4 years ago
- This is a simple DNN based application for an IDS based on the CICIDS2017 dataset☆32Updated 4 years ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆52Updated 5 years ago
- Intrusion Detection Based on Convolutional Neural Network with kdd99 data set☆53Updated 6 years ago
- Wang Wei's End-to-end encrypted traffic classification with one-dimensional convolution neural networks (scripts and article))☆30Updated 4 years ago
- Analysis of the ISCX VPN-nonVPN Dataset 2016 for Encrypted Network Traffic Classification☆86Updated last year
- Neural Network based Intrusion Detection System (NIDS) on Intrusion Detection Evaluation Dataset (CICIDS2017)☆12Updated 4 years ago
- IDS abnormal traffic detection tensorflow☆39Updated 5 years ago
- Code for “MaMPF: Encrypted Traffic Classification Based on Multi-Attribute Markov Probability Fingerprints”☆19Updated 4 years ago
- Deep learning models for network intrusion detection☆35Updated 2 years ago
- This repository consists of python codes that performs attack classification based on the KDD and CIDDS dataset using CNN, LSTM-RNN and H…☆23Updated last year
- Network Intrusion Detection System(Abnormal Detection)☆11Updated 4 years ago
- Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution☆46Updated 11 months ago
- Implementation of a multi-task model for encrypted network traffic classification based on transformer and 1D-CNN.☆31Updated last year
- A network data classifier for UNSW-NB15 data set. This is an university course work for "ITKST42 Information Security Technology".☆38Updated 8 years ago
- Code for Intrusion Detection Systems and Encrypted Traffic Classification [No Further Updates]☆37Updated 3 years ago
- I have tried some of the machine learning and deep learning algorithm for IDS 2017 dataset. The link for the dataset is here: http://www.…☆40Updated 6 years ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆68Updated 4 years ago
- Intrusion Detection System using Machine Learning and Deep Learning☆87Updated last year
- Intrusion detection system using CNN and RNN☆24Updated 5 years ago
- ⼀个有潜⼒的⽹络⼊侵检测算法，引⼊了乘法注意⼒机制将其融合到 CNN 的分类模型中，在KDD99和UNSM-NB15数据集进行模型的训练结果优于一般机器学习方法和CNN。A promising network intrusion detection algorithm is…☆10Updated last year
- 论文Encrypted Traffic Classification with One-dimensional Convolution Neural Networks的torch实现☆35Updated 2 years ago
- The use of machine learning to classify network traffic☆38Updated 4 years ago
- 这是一个封装了KDDCup99、NSL-KDD、UNSW-NB15等入侵监测数据集的Python包。☆46Updated 4 years ago
- AEIDS is a prototype of anomaly-based intrusion detection system which works by remembering the pattern of legitimate network traffic usi…☆14Updated 5 years ago