FlamingJay / Hierarchical-Attention-Model-for-Intrusion-Detection
We use attention model for intrusion detection. The idea of Hierarchical Attention Model for Intrusion Detection comes from the application of Attention in NLP.
☆12Updated 4 years ago
Alternatives and similar repositories for Hierarchical-Attention-Model-for-Intrusion-Detection:
Users that are interested in Hierarchical-Attention-Model-for-Intrusion-Detection are comparing it to the libraries listed below
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆43Updated 4 years ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆68Updated 4 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。☆44Updated 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.…☆38Updated 6 years ago
- ramyaelineni5 / ML-based-Network-Intrusion-Detection-using-Cyber-Dataset-CSE-CIC-IDS2018-to-classify-network-attacks☆43Updated 4 years ago
- DISEÑO Y EVALUACIÓN DE REDES NEURONALES CONVOLUCIONALES PARA UN SISTEMA DE DETECCIÓN DE INTRUSIONES☆13Updated 4 years ago
- Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks☆43Updated 4 months ago
- IDS abnormal traffic detection tensorflow☆39Updated 5 years ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆31Updated 4 years ago
- Deep learning models for network intrusion detection☆34Updated last year
- Intrusion Detection System using Machine Learning and Deep Learning☆85Updated last year
- CICIDS2017 dataset☆61Updated 3 years ago
- ☆37Updated 2 years ago
- Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution☆42Updated 8 months ago
- Distributed intelligent malicious traffic detection system based on GAN☆18Updated 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
- Network Intrusion Detection System(Abnormal Detection)☆11Updated 4 years ago
- Intrusion Detection Based on Convolutional Neural Network with kdd99 data set☆52Updated 5 years ago
- Unofficial repo of the research paper ”An Intrusion Detection System Using a Deep Neural Network with Gated Recurrent Units“. Developed u…☆31Updated 5 years ago
- An intrusion detection system model developed using CNN and Bi-LSTM.☆12Updated 2 years ago
- This project aims to detect Intrusions with a network using deep learning. The network traffic data is converted to multi channel RGB ima…☆11Updated 3 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
- Attention Model for Network Intrusion Detection☆17Updated 5 years ago
- Autoencoder based intrusion detection system trained and tested with the CICIDS2017 data set.☆30Updated 4 years ago
- Using NSL_KDD data☆26Updated 5 years ago
- the DL methods used are : DNN, CNN, LSTM, GRU, CNN-LSTM, CNN-GRU, CNN-BiLSTM, CNN-BiGRU, the dataset used is : imbalanced NSL-KDD (KDDTra…☆38Updated 2 years ago
- Neural Network based Intrusion Detection System (NIDS) on Intrusion Detection Evaluation Dataset (CICIDS2017)☆12Updated 4 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
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆53Updated 4 years ago
- This project is an open-source project based on a GAN network anomaly detection.☆12Updated 6 months ago