AFAgarap / gru-svmLinks
[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection
☆172Updated 2 years ago
Alternatives and similar repositories for gru-svm
Users that are interested in gru-svm 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
- 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
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆75Updated 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…☆45Updated 6 years ago
- Using PyTorch to train kddcup99 dataset with convolutional neural networks.☆54Updated 6 years ago
- A GAN-based model focused on anomaly detection in discrete dataset☆26Updated 5 years ago
- clean data ,feature selection , svm based kdd99☆26Updated 6 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
- Basic Machine learning projects and assignments done by me.☆33Updated 5 years ago
- Intrusion Detection System using Machine Learning and Deep Learning☆89Updated last year
- Replication files for arXiv:1803.10769 Network Traffic Anomaly Detection Using Recurrent Neural Networks☆24Updated 6 years ago
- IoT intrusion Detection Model based on neural network and random forests☆48Updated 7 years ago
- Feature coded UNSW_NB15 intrusion detection data.☆88Updated 7 years ago
- PySpark solution to the NSL-KDD dataset: https://www.unb.ca/cic/datasets/nsl.html☆126Updated 5 years ago
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆48Updated 5 years ago
- Using NSL_KDD data☆28Updated 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
- Cyber-attack classification in the network traffic database using NSL-KDD dataset☆27Updated 5 years ago
- CICIDS2017 dataset☆70Updated 3 years ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆52Updated 5 years ago
- Intrusion Detection Based on Convolutional Neural Network with kdd99 data set☆56Updated 6 years ago
- Tensorflow Implementation of paper Applying long short-term memory recurrent neural networks to intrusion detection with KDDCup99 Data☆15Updated 7 years ago
- A Recurrent Neural Networks implementation using Keras for network intrusion detection☆31Updated 4 years ago
- We use attention model for intrusion detection. The idea of Hierarchical Attention Model for Intrusion Detection comes from the applicat…☆12Updated 5 years ago
- This repository contains a notebook implementing an autoencoder based approach for intrusion detection, the full documentation of the stu…☆32Updated 6 years ago
- Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution☆50Updated last year
- This project is an open-source project based on a GAN network anomaly detection.☆13Updated last year
- Using RL for anomaly detection in NSL-KDD☆123Updated 2 years ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆35Updated 5 years ago
- Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks☆50Updated last year