massimo-guarascio / dnn_ensemble_ids
DNN-Ensemble IDS is a machine learning based classification model for intrusion detection exploiting ensembles of classifiers.
☆11Updated 3 years ago
Alternatives and similar repositories for dnn_ensemble_ids:
Users that are interested in dnn_ensemble_ids are comparing it to the libraries listed below
- Intrusion detection system using CNN and RNN☆22Updated 5 years ago
- ☆37Updated 2 years ago
- Intrusion Detection System using Machine Learning and Deep Learning☆85Updated last year
- Code for Paper : Efficient-CNN-BiLSTM-for-Network-IDS☆106Updated 2 years ago
- Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks☆43Updated 5 months ago
- CICIDS2017 dataset☆64Updated 3 years ago
- Neural Network based Intrusion Detection System (NIDS) on Intrusion Detection Evaluation Dataset (CICIDS2017)☆12Updated 4 years ago
- Deep learning models for network intrusion detection☆34Updated last year
- This is a simple DNN based application for an IDS based on the CICIDS2017 dataset☆29Updated 4 years ago
- Implementation of Robust Transformer Based Intrusion Detection, based on the Paper by Wu et. Al☆22Updated 5 months ago
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆43Updated 4 years ago
- Intrusion Detection Based on Convolutional Neural Network with kdd99 data set☆52Updated 5 years ago
- DISEÑO Y EVALUACIÓN DE REDES NEURONALES CONVOLUCIONALES PARA UN SISTEMA DE DETECCIÓN DE INTRUSIONES☆13Updated 4 years ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆68Updated 4 years ago
- An Intrusion Detection System based on Deep Belief Networks☆80Updated 2 years ago
- IDS abnormal traffic detection tensorflow☆39Updated 5 years ago
- Distributed intelligent malicious traffic detection system based on GAN☆18Updated 4 years ago
- A deep learning based intrusion detection system using CSE-CIC-IDS2018 dataset.☆12Updated 4 years ago
- Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution☆43Updated 8 months ago
- The purpose of this repository is to demonstrate the steps of processing CICIDS2017 dataset using machine learning algorithms.☆59Updated 4 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
- Network Intrusion Detection System(Abnormal Detection)☆11Updated 4 years ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆31Updated 4 years ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆53Updated 4 years ago
- Intrusion Detection System, IDS，Cyberattack Detection，Pytorch，Transformer☆9Updated 2 years ago
- Intrusion Detection System - IDS example using Dense, Conv1d and Lstm layers in Keras / TensorFlow☆22Updated last year
- Network Intrusion Detection System on CSE-CIC-IDS2018 using ML classifiers and DNN ( ANN , CNN , RNN ) | Hyper-parameter Optimization { l…☆19Updated 3 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
- Thesis research on enhancing Network Intrusion Detection System (NIDS) explainability using Transformers.☆12Updated last year
- A Deep Learning approach toward creating a NIDS using python☆25Updated last year