jones5am / Network_DOS_Attack_DetectionLinks
Using the 1998 DARPA Intrusion Detection Evaluation dataset I configured a Random Forest model for anomaly detection
☆14Updated 6 years ago
Alternatives and similar repositories for Network_DOS_Attack_Detection
Users that are interested in Network_DOS_Attack_Detection are comparing it to the libraries listed below
Sorting:
- 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
- IDS abnormal traffic detection tensorflow☆44Updated 6 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。☆50Updated 5 years ago
- get pcap feature☆10Updated 7 years ago
- This is a simple DNN based application for an IDS based on the CICIDS2017 dataset☆37Updated 5 years ago
- Deep learning models for network intrusion detection☆39Updated 2 years ago
- CICIDS2017 dataset☆70Updated 3 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
- A network data classifier for UNSW-NB15 data set. This is an university course work for "ITKST42 Information Security Technology".☆38Updated 8 years ago
- Encrypted traffic classification use CNN☆35Updated 4 years ago
- ☆53Updated 4 years ago
- using 2d-cnn to classify network traffic☆21Updated 5 years ago
- Intrusion Detection Based on Convolutional Neural Network with kdd99 data set☆56Updated 6 years ago
- Cyber-attack classification in the network traffic database using NSL-KDD dataset☆27Updated 5 years ago
- Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications (CCS'21)☆73Updated 3 years ago
- The pytorch implementation of E-GraphSAGE and E-ResGAT, two solutions for intrusion detection.☆74Updated 4 years ago
- FS-Net: A Flow Sequence Network For Encrypted Traffic Classification☆47Updated 5 years ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆75Updated 5 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
- This repository contains the code used and developed during a master thesis at DTU Compute in 2018☆42Updated 7 years ago
- Encrypted Traffic Classification using Deep Learning☆48Updated 7 years ago
- 论文:A Deep Hierarchical Network for Packet-Level Malicious Traffic Detection的源代码☆28Updated 3 years ago
- A PyTorch implementation of of E-GraphSAGE.☆95Updated 3 years ago
- Distributed intelligent malicious traffic detection system based on GAN☆18Updated 5 years ago
- Attention Model for Network Intrusion Detection☆18Updated 6 years ago
- ☆47Updated 3 years ago
- Feature coded UNSW_NB15 intrusion detection data.☆88Updated 7 years ago
- Code for the paper "Anomaly-Based Intrusion Detection in IIoT Networks Using Transformer Models"☆33Updated 2 years ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆52Updated 5 years ago
- using deep learning to classify the encrypted network traffic☆168Updated 4 years ago