LMP851 / IDS
A study on Deep Learning and Graph Neural Network for Intrusion Detection and Prevention (CNN, VAE, GNN,...)
☆9Updated 2 years ago
Alternatives and similar repositories for IDS:
Users that are interested in IDS are comparing it to the libraries listed below
- 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…☆8Updated 10 months ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆31Updated 4 years ago
- ☆37Updated 2 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 Deep Reinforcement Learning and Generative Adversarial Networks☆43Updated 3 months ago
- Autoencoder based intrusion detection system trained and tested with the CICIDS2017 data set.☆29Updated 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。☆44Updated 4 years ago
- An Intrusion Detection System based on Deep Belief Networks☆77Updated 2 years ago
- Code for Paper : Efficient-CNN-BiLSTM-for-Network-IDS☆103Updated 2 years ago
- Implementation of Robust Transformer Based Intrusion Detection, based on the Paper by Wu et. Al☆21Updated 4 months ago
- Neural Network based Intrusion Detection System (NIDS) on Intrusion Detection Evaluation Dataset (CICIDS2017)☆12Updated 4 years ago
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆43Updated 4 years ago
- Distributed intelligent malicious traffic detection system based on GAN☆18Updated 4 years ago
- Generative adversarial networks for Network Intrusion Benchmark datasets☆32Updated 5 months ago
- A PyTorch implementation of of Anomal-E.☆31Updated 2 years ago
- An intrusion detection system model developed using CNN and Bi-LSTM.☆12Updated 2 years ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆53Updated 4 years ago
- Code for paper: Contrastive Learning Enhanced Intrusion Detection☆16Updated last year
- ramyaelineni5 / ML-based-Network-Intrusion-Detection-using-Cyber-Dataset-CSE-CIC-IDS2018-to-classify-network-attacks☆42Updated 4 years ago
- Deep learning models for network intrusion detection☆33Updated last year
- Intrusion Detection Based on Convolutional Neural Network with kdd99 data set☆52Updated 5 years ago
- Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution☆42Updated 7 months ago
- Code for the paper "Anomaly-Based Intrusion Detection in IIoT Networks Using Transformer Models"☆31Updated last year
- The proposed hybrid IDS is tested on two public network datasets, the CSE-CIC-IDS2018 and the TON IoT datasets, representing internal and…☆12Updated 2 years ago
- A Deep Learning Based Intrusion Detection System for IIoT Networks☆10Updated 6 months ago
- Deep Model Intrusion Detection (IDS) Evaluation of NSL KDD and CIC IDS 2018 datasets.☆14Updated last year
- This repository consists of python codes that performs attack classification based on the KDD and CIDDS dataset using CNN, LSTM-RNN and H…☆22Updated last year
- This project is an open-source project based on a GAN network anomaly detection.☆12Updated 5 months ago
- IDS abnormal traffic detection tensorflow☆38Updated 5 years ago
- Based on the CICIDS2017 dataset and Pytorch platform☆28Updated 5 years ago