FlamingJay / Hierarchical-Attention-Model-for-Intrusion-DetectionLinks
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 5 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
Sorting:
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆72Updated 4 years ago
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆46Updated 5 years ago
- Intrusion Detection System using Machine Learning and Deep Learning☆88Updated last year
- 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
- 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.…☆41Updated 6 years ago
- IDS abnormal traffic detection tensorflow☆41Updated 6 years ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆35Updated 4 years ago
- Intrusion Detection Based on Convolutional Neural Network with kdd99 data set☆56Updated 6 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
- ☆44Updated 3 years ago
- A GAN-based model focused on anomaly detection in discrete dataset☆26Updated 5 years ago
- using 2d-cnn to classify network traffic☆21Updated 5 years ago
- Feature coded UNSW_NB15 intrusion detection data.☆88Updated 7 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。☆47Updated 4 years ago
- Code for Paper : Efficient-CNN-BiLSTM-for-Network-IDS☆113Updated 2 years ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆52Updated 5 years ago
- Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks☆45Updated 10 months ago
- This project is an open-source project based on a GAN network anomaly detection.☆13Updated last year
- Autoencoder based intrusion detection system trained and tested with the CICIDS2017 data set.☆35Updated 5 years ago
- An Intrusion Detection System based on Deep Belief Networks☆84Updated 2 years ago
- Attention Model for Network Intrusion Detection☆17Updated 6 years ago
- DISEÑO Y EVALUACIÓN DE REDES NEURONALES CONVOLUCIONALES PARA UN SISTEMA DE DETECCIÓN DE INTRUSIONES☆14Updated 5 years ago
- Deep learning models for network intrusion detection☆37Updated 2 years ago
- Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution☆46Updated last year
- Correlation Aware DDoS Detection In IoT Systems☆9Updated last year
- An intrusion detection system model developed using CNN and Bi-LSTM.☆13Updated 3 years ago
- ramyaelineni5 / ML-based-Network-Intrusion-Detection-using-Cyber-Dataset-CSE-CIC-IDS2018-to-classify-network-attacks☆43Updated 4 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…☆44Updated 2 years ago
- Unofficial repo of the research paper ”An Intrusion Detection System Using a Deep Neural Network with Gated Recurrent Units“. Developed u…☆33Updated 5 years ago
- Cyber-attack classification in the network traffic database using NSL-KDD dataset☆26Updated 4 years ago