massimo-guarascio / dnn_ensemble_idsLinks
DNN-Ensemble IDS is a machine learning based classification model for intrusion detection exploiting ensembles of classifiers.
☆12Updated 4 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
Sorting:
- Journal Article: Telematics and Informatics Reports☆11Updated 2 years ago
- An Intrusion Detection System based on Deep Belief Networks☆84Updated 2 years ago
- Code for Paper : Efficient-CNN-BiLSTM-for-Network-IDS☆113Updated 2 years ago
- Intrusion Detection System using Machine Learning and Deep Learning☆88Updated last year
- Intrusion Detection Based on Convolutional Neural Network with kdd99 data set☆56Updated 6 years ago
- Intrusion detection system using CNN and RNN☆24Updated 5 years ago
- ☆44Updated 2 years ago
- Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution☆46Updated last year
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆47Updated 5 years ago
- Code for intrusion detection system (IDS) development using CNN models and transfer learning☆175Updated 2 years ago
- This is a simple DNN based application for an IDS based on the CICIDS2017 dataset☆33Updated 4 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
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆52Updated 5 years ago
- Here, we use RNN to deal with the network intrusion problem. The UNSW-NB15 dataset is used.☆72Updated 4 years ago
- The purpose of this repository is to demonstrate the steps of processing CICIDS2017 dataset using machine learning algorithms.☆63Updated 4 years ago
- Neural Network based Intrusion Detection System (NIDS) on Intrusion Detection Evaluation Dataset (CICIDS2017)☆12Updated 4 years ago
- CNN网络入侵检测☆56Updated last year
- IDS abnormal traffic detection tensorflow☆40Updated 5 years ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆35Updated 4 years ago
- Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks☆45Updated 10 months ago
- Network Intrusion Detection based on various machine learning and deep learning algorithms using UNSW-NB15 Dataset☆175Updated 3 years ago
- This project aims to identify and classify the anomalies captured in network traffic using different machine learning strategies. After t…☆12Updated 3 years ago
- Autoencoder based intrusion detection system trained and tested with the CICIDS2017 data set.☆34Updated 5 years ago
- 论文:A Deep Hierarchical Network for Packet-Level Malicious Traffic Detection的源代码☆26Updated 3 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
- 使用卷积神经网络进行网络入侵检测,正确率可达99.5%☆184Updated 6 years ago
- 使用贝叶斯、神经网络、KNN进行入侵检测(KDD-CUP99)☆83Updated 5 years ago
- Deep learning models for network intrusion detection☆37Updated 2 years ago
- ☆156Updated 2 years ago
- Thesis research on enhancing Network Intrusion Detection System (NIDS) explainability using Transformers.☆16Updated last year