ymirsky / Kitsune-pyLinks
A network intrusion detection system based on incremental statistics (AfterImage) and an ensemble of autoencoders (KitNET)
☆343Updated last year
Alternatives and similar repositories for Kitsune-py
Users that are interested in Kitsune-py are comparing it to the libraries listed below
Sorting:
- KitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.☆241Updated last year
- CICFlowmeter-V4.0 (formerly known as ISCXFlowMeter) is a network traffic Bi-flow generator and analyzer for anomaly detection that has be…☆186Updated last year
- Network Intrusion Detection System using Deep Learning Techniques☆156Updated 5 years ago
- Realtime Robust Malicious Traffic Detection via Frequency Domain Analysis☆129Updated last year
- Toolkit for processing PCAP file and transform into image of MNIST dataset☆241Updated last year
- The purpose of this repository is to demonstrate the steps of processing CICIDS2017 dataset using machine learning algorithms.☆63Updated 4 years ago
- An automatic packet crafting tool for evading learning-based NIDS☆81Updated 3 years ago
- CICFlowmeter-V4.0 (formerly known as ISCXFlowMeter) is an Ethernet traffic Bi-flow generator and analyzer for anomaly detection that has …☆625Updated last year
- Traffic dataset USTC-TFC2016☆139Updated 6 years ago
- using deep learning to classify the encrypted network traffic☆163Updated 4 years ago
- Feature coded UNSW_NB15 intrusion detection data.☆88Updated 7 years ago
- Intrusion Detection Based on Convolutional Neural Network with kdd99 data set☆56Updated 6 years ago
- ☆87Updated last year
- IDS abnormal traffic detection tensorflow☆40Updated 5 years ago
- CICIDS2017 dataset☆70Updated 3 years ago
- PySpark solution to the NSL-KDD dataset: https://www.unb.ca/cic/datasets/nsl.html☆126Updated 4 years ago
- Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution☆46Updated last year
- 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☆93Updated 2 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
- Pytorch implementation of deep packet: a novel approach for encrypted traffic classification using deep learning☆232Updated 2 years ago
- This is the repo of the research paper, "Evaluating Shallow and Deep Neural Networks for Network Intrusion Detection Systems in Cyber Sec…☆280Updated last year
- Deep Learning models for network traffic classification☆731Updated 3 years ago
- Machine Learning in Cybersecurity☆84Updated last month
- This repository contains a notebook implementing an autoencoder based approach for intrusion detection, the full documentation of the stu…☆32Updated 6 years ago
- Utility for extraction of subset of KDD '99 features from realtime network traffic or .pcap file☆120Updated 5 years ago
- Source code for the paper: Adaptive Clustering-based Malicious Traffic Classification at the Network Edge (https://homepages.inf.ed.ac.uk…☆37Updated 4 years ago
- Adversarial Machine Learning applications on network-based Intrusion Detection System (IDS).☆25Updated 5 years ago
- Analysis of the ISCX VPN-nonVPN Dataset 2016 for Encrypted Network Traffic Classification☆90Updated last year
- 收集了部分将机器学习应用于网络流量分类的论文☆167Updated 5 years ago
- Machine-learning-based intrusion detection☆38Updated 7 years ago