ronghuihu / CICFLOWMETERLinks
☆10Updated 6 years ago
Alternatives and similar repositories for CICFLOWMETER
Users that are interested in CICFLOWMETER are comparing it to the libraries listed below
Sorting:
- IDS abnormal traffic detection tensorflow☆43Updated 6 years ago
- This is a simple DNN based application for an IDS based on the CICIDS2017 dataset☆35Updated 5 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.…☆42Updated 7 years ago
- CICIDS2017 dataset☆70Updated 3 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。☆49Updated 5 years ago
- Feature coded UNSW_NB15 intrusion detection data.☆89Updated 7 years ago
- manojkumar-github / Intrusion-Detection-System-for-IoT-networks-using-Gated-Recurrent-Neural-Networks-GRUAn Intelligent Intrusion Detection System for IoT networks using Gated Recurrent Neural Networks (GRU) : A Deep Learning Approach☆33Updated 7 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☆92Updated 3 years ago
- Attention Model for Network Intrusion Detection☆18Updated 6 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 2 years ago
- PySpark solution to the NSL-KDD dataset: https://www.unb.ca/cic/datasets/nsl.html☆127Updated 5 years ago
- Intrusion Detection Based on Convolutional Neural Network with kdd99 data set☆56Updated 6 years ago
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆48Updated 5 years ago
- Implementation of "How to Achieve High Classification Accuracy with Just a Few Labels: A Semi-supervised Approach Using Sampled Packets"☆34Updated 6 years ago
- Reproduce the code of papers related to the field of NIDS(network intrusion detection system).入侵检测领域的相关论文复现/适配本地PC后的代码.☆26Updated 4 years ago
- Using PyTorch to train kddcup99 dataset with convolutional neural networks.☆54Updated 6 years ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆74Updated 4 years ago
- Basic Machine learning projects and assignments done by me.☆32Updated 5 years ago
- 收集了部分将机器学习应用于网络流量分类的论文☆171Updated 5 years ago
- Distributed intelligent malicious traffic detection system based on GAN☆18Updated 5 years ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆52Updated 5 years ago
- Traffic dataset USTC-TFC2016☆146Updated 6 years ago
- Autoencoder based intrusion detection system trained and tested with the CICIDS2017 data set.☆37Updated 5 years ago
- A network data classifier for UNSW-NB15 data set. This is an university course work for "ITKST42 Information Security Technology".☆38Updated 8 years ago
- This repository contains the code used and developed during a master thesis at DTU Compute in 2018☆43Updated 7 years ago
- Replication files for arXiv:1803.10769 Network Traffic Anomaly Detection Using Recurrent Neural Networks☆24Updated 6 years ago
- Based on the CICIDS2017 dataset and Pytorch platform☆29Updated 6 years ago
- A network intrusion detection system based on incremental statistics (AfterImage) and an ensemble of autoencoders (KitNET)☆357Updated last year
- A GAN-based model focused on anomaly detection in discrete dataset☆26Updated 5 years ago
- KitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.☆245Updated last year