danialjahed / IDS-KDDcupLinks
Detecting Abnormal Connections of a Network-Flow (KDD-cup 99)
☆13Updated 7 years ago
Alternatives and similar repositories for IDS-KDDcup
Users that are interested in IDS-KDDcup are comparing it to the libraries listed below
Sorting:
- PySpark solution to the NSL-KDD dataset: https://www.unb.ca/cic/datasets/nsl.html☆126Updated 5 years ago
- Basic Machine learning projects and assignments done by me.☆33Updated 5 years ago
- clean data ,feature selection , svm based kdd99☆26Updated 6 years ago
- FS-Net: A Flow Sequence Network For Encrypted Traffic Classification☆47Updated 5 years ago
- Intrusion Detection Based on Convolutional Neural Network with kdd99 data set☆56Updated 6 years ago
- Feature coded UNSW_NB15 intrusion detection data.☆89Updated 7 years ago
- CICIDS2017 dataset☆70Updated 3 years ago
- Utility for extraction of subset of KDD '99 features from realtime network traffic or .pcap file☆120Updated 5 years ago
- Unofficial repo of the research paper ”An Intrusion Detection System Using a Deep Neural Network with Gated Recurrent Units“. Developed u…☆32Updated 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
- 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
- Intrusion Detection System using Machine Learning and Deep Learning☆89Updated last year
- 这是一个封装了KDDCup99、NSL-KDD、UNSW-NB15等入侵监测数据集的Python包。☆50Updated 5 years ago
- IDS abnormal traffic detection tensorflow☆45Updated 6 years ago
- Deep Learning Tool for Off-line Network Intrusion Detection System☆22Updated 7 years ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆74Updated 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
- Wang Wei's End-to-end encrypted traffic classification with one-dimensional convolution neural networks (scripts and article))☆35Updated 5 years ago
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆48Updated 5 years ago
- Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution☆50Updated last year
- A network intrusion detection system based on incremental statistics (AfterImage) and an ensemble of autoencoders (KitNET)☆357Updated last year
- Using PyTorch to train kddcup99 dataset with convolutional neural networks.☆54Updated 6 years ago
- A Recurrent Neural Networks implementation using Keras for network intrusion detection☆31Updated 4 years ago
- Encrypted Traffic Classification using Deep Learning☆48Updated 7 years ago
- ramyaelineni5 / ML-based-Network-Intrusion-Detection-using-Cyber-Dataset-CSE-CIC-IDS2018-to-classify-network-attacks☆43Updated 4 years ago
- This is a simple DNN based application for an IDS based on the CICIDS2017 dataset☆37Updated 5 years ago
- This repository contains a notebook implementing an autoencoder based approach for intrusion detection, the full documentation of the stu…☆32Updated 6 years ago
- Analysis of the ISCX VPN-nonVPN Dataset 2016 for Encrypted Network Traffic Classification☆92Updated last year
- Network Intrusion Detection based on various machine learning and deep learning algorithms using UNSW-NB15 Dataset☆179Updated 4 years ago
- Autoencoder based intrusion detection system trained and tested with the CICIDS2017 data set.☆37Updated 5 years ago