manojkumar-github / Intrusion-Detection-System-for-IoT-networks-using-Gated-Recurrent-Neural-Networks-GRU
An Intelligent Intrusion Detection System for IoT networks using Gated Recurrent Neural Networks (GRU) : A Deep Learning Approach
☆32Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for Intrusion-Detection-System-for-IoT-networks-using-Gated-Recurrent-Neural-Networks-GRU
- IoT intrusion Detection Model based on neural network and random forests☆43Updated 6 years ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆66Updated 4 years ago
- A network data classifier for UNSW-NB15 data set. This is an university course work for "ITKST42 Information Security Technology".☆35Updated 7 years ago
- Deep learning models for network intrusion detection☆33Updated last year
- 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.…☆38Updated 6 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…☆37Updated 5 years ago
- Unofficial repo of the research paper ”An Intrusion Detection System Using a Deep Neural Network with Gated Recurrent Units“. Developed u…☆28Updated 4 years ago
- Intrusion Detection Based on Convolutional Neural Network with kdd99 data set☆52Updated 5 years ago
- This study proposes a two- level classification technique for the anomaly detection-based IDS architecture for fog-edge sides. Targeted f…☆13Updated last year
- Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution☆41Updated 5 months ago
- Intrusion Detection System using Machine Learning and Deep Learning☆82Updated 10 months ago
- This repository contains a notebook implementing an autoencoder based approach for intrusion detection, the full documentation of the stu…☆32Updated 5 years ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆30Updated 4 years ago
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆43Updated 4 years ago
- Intrusion detection system using CNN and RNN☆22Updated 5 years ago
- CICIDS2017 dataset☆55Updated 2 years ago
- Deep learning based Intrusion Detection System☆27Updated 4 years ago
- Feature coded UNSW_NB15 intrusion detection data.☆80Updated 6 years ago
- Neural Network based Intrusion Detection System (NIDS) on Intrusion Detection Evaluation Dataset (CICIDS2017)☆12Updated 4 years ago
- A Recurrent Neural Networks implementation using Keras for network intrusion detection☆30Updated 3 years ago
- Due to the increasingly development of network technology recently, there are various cyber-attacks posed the huge threats to different …☆29Updated 6 years ago
- Using NSL_KDD data☆25Updated 5 years ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆53Updated 4 years ago
- Tensorflow Implementation of paper Applying long short-term memory recurrent neural networks to intrusion detection with KDDCup99 Data☆15Updated 6 years ago
- ramyaelineni5 / ML-based-Network-Intrusion-Detection-using-Cyber-Dataset-CSE-CIC-IDS2018-to-classify-network-attacks☆42Updated 3 years ago
- Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks☆41Updated 2 months ago
- Based on the CICIDS2017 dataset and Pytorch platform☆27Updated 5 years ago
- Cyber-attack classification in the network traffic database using NSL-KDD dataset☆23Updated 4 years ago
- Distributed intelligent malicious traffic detection system based on GAN☆17Updated 4 years ago
- Network data classifier based on the recurrent neural network.☆22Updated 5 years ago