vanlalruata / A-Novel-Two-Stage-Deep-Learning-Model-for-Network-Intrusion-DetectionLinks
Journal Article: IEEE Access
☆10Updated last year
Alternatives and similar repositories for A-Novel-Two-Stage-Deep-Learning-Model-for-Network-Intrusion-Detection
Users that are interested in A-Novel-Two-Stage-Deep-Learning-Model-for-Network-Intrusion-Detection are comparing it to the libraries listed below
Sorting:
- Journal Article: Telematics and Informatics Reports☆12Updated 2 years ago
- The purpose of this repository is to demonstrate the steps of processing CICIDS2017 dataset using machine learning algorithms.☆63Updated 4 years ago
- Adversarial Machine Learning applications on network-based Intrusion Detection System (IDS).☆25Updated 5 years ago
- Neural Network based Intrusion Detection System (NIDS) on Intrusion Detection Evaluation Dataset (CICIDS2017)☆12Updated 4 years ago
- 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…☆10Updated last year
- An Intrusion Detection System based on Deep Belief Networks☆83Updated 2 years ago
- This is a simple DNN based application for an IDS based on the CICIDS2017 dataset☆33Updated 4 years ago
- Deep Model Intrusion Detection (IDS) Evaluation of NSL KDD and CIC IDS 2018 datasets.☆16Updated 2 years ago
- This study proposes a two- level classification technique for the anomaly detection-based IDS architecture for fog-edge sides. Targeted f…☆13Updated 2 years ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆35Updated 4 years ago
- Intrusion detection system using CNN and RNN☆24Updated 5 years ago
- Unofficial repo of the research paper ”An Intrusion Detection System Using a Deep Neural Network with Gated Recurrent Units“. Developed u…☆33Updated 5 years ago
- Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution☆46Updated last year
- Intrusion Detection System - IDS example using Dense, Conv1d and Lstm layers in Keras / TensorFlow☆22Updated 2 years ago
- IoT Attack Detection with machine learning☆27Updated 2 weeks ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆52Updated 5 years ago
- CICIDS2017 dataset☆70Updated 3 years ago
- ramyaelineni5 / ML-based-Network-Intrusion-Detection-using-Cyber-Dataset-CSE-CIC-IDS2018-to-classify-network-attacks☆42Updated 4 years ago
- Deep Learning based Intrusion Detection on NSL-KDD Dataset☆13Updated 5 years ago
- Autoencoder based intrusion detection system trained and tested with the CICIDS2017 data set.☆33Updated 5 years ago
- Baseline experiments on training a Decision Tree Classifier and a Random Forest Classifier using Grid Search with Cross Validation on the…☆46Updated 3 years ago
- ☆42Updated 2 years ago
- Intrusion Detection Based on Convolutional Neural Network with kdd99 data set☆54Updated 6 years ago
- Codes for the paper entitled "Optimization of Predictive Performance of Intrusion Detection System Using Hybrid Ensemble Model for Secure…☆15Updated 2 years ago
- Building an Intrusion Detection System on UNSW-NB15 Dataset Based on Machine Learning Algorithm☆85Updated 4 years ago
- ☆84Updated last year
- Federated Learning for Intrusion Detection System using the Flower framework and UNSW_NB15 dataset.☆24Updated last year
- A deep learning based intrusion detection system using CSE-CIC-IDS2018 dataset.☆12Updated 5 years ago
- Deep learning models for network intrusion detection☆37Updated 2 years ago
- Intrusion Detection System using Machine Learning and Deep Learning☆87Updated last year