berglee001 / CNN
cnn_1D for kdd99
☆21Updated 6 years ago
Alternatives and similar repositories for CNN:
Users that are interested in CNN are comparing it to the libraries listed below
- Intrusion Detection Based on Convolutional Neural Network with kdd99 data set☆53Updated 5 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
- ☆21Updated 4 years ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆68Updated 4 years ago
- IDS abnormal traffic detection tensorflow☆39Updated 5 years ago
- This repository contains a notebook implementing an autoencoder based approach for intrusion detection, the full documentation of the stu…☆33Updated 6 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
- Intrusion Detection System using Machine Learning and Deep Learning☆87Updated last year
- ☆41Updated 2 years ago
- using 2d-cnn to classify network traffic☆20Updated 5 years ago
- Autoencoder based intrusion detection system trained and tested with the CICIDS2017 data set.☆32Updated 4 years ago
- A Recurrent Neural Networks implementation using Keras for network intrusion detection☆31Updated 3 years ago
- A GAN-based model focused on anomaly detection in discrete dataset☆26Updated 5 years ago
- Using NSL_KDD data☆27Updated 6 years ago
- clean data ,feature selection , svm based kdd99☆26Updated 5 years ago
- Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution☆45Updated 10 months ago
- CICIDS2017 dataset☆69Updated 3 years ago
- Based on the CICIDS2017 dataset and Pytorch platform☆28Updated 5 years ago
- Cyber-attack classification in the network traffic database using NSL-KDD dataset☆26Updated 4 years ago
- This project is an open-source project based on a GAN network anomaly detection.☆13Updated 8 months ago
- AEIDS is a prototype of anomaly-based intrusion detection system which works by remembering the pattern of legitimate network traffic usi…☆14Updated 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.…☆40Updated 6 years ago
- The proposed hybrid IDS is tested on two public network datasets, the CSE-CIC-IDS2018 and the TON IoT datasets, representing internal and…☆13Updated 2 years ago
- Anomaly Detection using PCA and BiGAN☆13Updated 4 years ago
- Deep learning models for network intrusion detection☆35Updated 2 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
- Purposed a network traffic classification and prediction model based on CNN, TCN and Attention mechanism.☆20Updated last year
- This is a simple DNN based application for an IDS based on the CICIDS2017 dataset☆31Updated 4 years ago
- Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks☆44Updated 7 months ago
- DISEÑO Y EVALUACIÓN DE REDES NEURONALES CONVOLUCIONALES PARA UN SISTEMA DE DETECCIÓN DE INTRUSIONES☆14Updated 4 years ago