hymoe / Intrusion-Detection-on-NSL-KDD
Unofficial repo of the research paper ”An Intrusion Detection System Using a Deep Neural Network with Gated Recurrent Units“. Developed using Keras, the deep learning model uses GRU / MLP.
☆31Updated 5 years ago
Alternatives and similar repositories for Intrusion-Detection-on-NSL-KDD:
Users that are interested in Intrusion-Detection-on-NSL-KDD are comparing it to the libraries listed below
- 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 CNN and RNN☆22Updated 5 years ago
- Deep learning models for network intrusion detection☆34Updated last year
- This is a simple DNN based application for an IDS based on the CICIDS2017 dataset☆29Updated 4 years ago
- Intrusion Detection System using Machine Learning and Deep Learning☆85Updated last year
- Neural Network based Intrusion Detection System (NIDS) on Intrusion Detection Evaluation Dataset (CICIDS2017)☆12Updated 4 years ago
- Intrusion Detection Based on Convolutional Neural Network with kdd99 data set☆52Updated 5 years ago
- Deep learning based Intrusion Detection System☆30Updated 4 years ago
- A Deep Learning Based Intrusion Detection System for IIoT Networks☆10Updated 7 months ago
- An Intrusion Detection System based on Deep Belief Networks☆80Updated 2 years ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆31Updated 4 years ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆53Updated 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…☆9Updated 11 months ago
- A Deep Learning approach toward creating a NIDS using python☆25Updated last year
- Code for Paper : Efficient-CNN-BiLSTM-for-Network-IDS☆106Updated 2 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 6 years ago
- Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution☆43Updated 8 months 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
- CICIDS2017 dataset☆64Updated 3 years ago
- A deep learning based intrusion detection system using CSE-CIC-IDS2018 dataset.☆12Updated 4 years ago
- Intrusion Detection System - IDS example using Dense, Conv1d and Lstm layers in Keras / TensorFlow☆22Updated last year
- Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks☆43Updated 5 months ago
- Based on the CICIDS2017 dataset and Pytorch platform☆28Updated 5 years ago
- ☆37Updated 2 years ago
- ramyaelineni5 / ML-based-Network-Intrusion-Detection-using-Cyber-Dataset-CSE-CIC-IDS2018-to-classify-network-attacks☆42Updated 4 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.…☆39Updated 6 years ago
- Using NSL_KDD data☆26Updated 5 years ago
- Two staged IDS specific to IoT networks where Signature based IDS and Anomaly based IDS which is trained and classified using machine lea…☆40Updated 5 years ago
- A Recurrent Neural Networks implementation using Keras for network intrusion detection☆31Updated 3 years ago
- The purpose of this repository is to demonstrate the steps of processing CICIDS2017 dataset using machine learning algorithms.☆59Updated 4 years ago