Nir-J / ML-Projects
Basic Machine learning projects and assignments done by me.
☆32Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for ML-Projects
- Intrusion Detection System using Machine Learning and Deep Learning☆81Updated 10 months ago
- Intrusion Detection Based on Convolutional Neural Network with kdd99 data set☆52Updated 5 years ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆66Updated 4 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
- 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
- Based on the CICIDS2017 dataset and Pytorch platform☆26Updated 5 years ago
- Feature coded UNSW_NB15 intrusion detection data.☆79Updated 6 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☆32Updated 6 years ago
- Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution☆40Updated 5 months ago
- 这是一个封装了KDDCup99、NSL-KDD、UNSW-NB15等入侵监测数据集的Python包。☆42Updated 4 years ago
- A Recurrent Neural Networks implementation using Keras for network intrusion detection☆30Updated 3 years ago
- Using PyTorch to train kddcup99 dataset with convolutional neural networks.☆53Updated 5 years ago
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆42Updated 4 years ago
- CICIDS2017 dataset☆55Updated 2 years ago
- Distributed intelligent malicious traffic detection system based on GAN☆17Updated 4 years ago
- Using NSL_KDD data☆24Updated 5 years ago
- Cyber-attack classification in the network traffic database using NSL-KDD dataset☆23Updated 4 years ago
- This repository consists of python codes that performs attack classification based on the KDD and CIDDS dataset using CNN, LSTM-RNN and H…☆20Updated last year
- Neural Network based Intrusion Detection System (NIDS) on Intrusion Detection Evaluation Dataset (CICIDS2017)☆12Updated 4 years ago
- The purpose of this repository is to demonstrate the steps of processing CICIDS2017 dataset using machine learning algorithms.☆56Updated 4 years ago
- clean data ,feature selection , svm based kdd99☆26Updated 5 years ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆30Updated 4 years ago
- We use attention model for intrusion detection. The idea of Hierarchical Attention Model for Intrusion Detection comes from the applicat…☆12Updated 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
- Due to the increasingly development of network technology recently, there are various cyber-attacks posed the huge threats to different …☆29Updated 6 years ago
- Replication files for arXiv:1803.10769 Network Traffic Anomaly Detection Using Recurrent Neural Networks☆20Updated 5 years ago
- This repository contains a notebook implementing an autoencoder based approach for intrusion detection, the full documentation of the stu…☆32Updated 5 years ago
- IDS abnormal traffic detection tensorflow☆38Updated 5 years ago
- DISEÑO Y EVALUACIÓN DE REDES NEURONALES CONVOLUCIONALES PARA UN SISTEMA DE DETECCIÓN DE INTRUSIONES☆13Updated 4 years ago
- Deep learning models for network intrusion detection☆33Updated last year