doriguzzi / flad-federated-learning-ddosLinks
Adaptive Federated Learning Approach to DDoS attack detection
☆50Updated 10 months ago
Alternatives and similar repositories for flad-federated-learning-ddos
Users that are interested in flad-federated-learning-ddos are comparing it to the libraries listed below
Sorting:
- FL-based intrusion detection system development using model averaging.☆40Updated 2 years ago
- An Intrusion Detection System based on Deep Belief Networks☆86Updated 2 years ago
- Code for the IEEE IoTJ paper "Semi-Supervised Federated Learning Based Intrusion Detection Method for Internet of Things"☆30Updated 2 years ago
- 将联邦学习以及知识蒸馏用于搭建网络入侵检测检测模型，在NSL-KDD数据集上进行了验证。☆29Updated 2 years ago
- Journal Article: Telematics and Informatics Reports☆11Updated 2 years ago
- source code for USENIX Security paper xNIDS☆52Updated last year
- Source code for the paper: Adaptive Clustering-based Malicious Traffic Classification at the Network Edge (https://homepages.inf.ed.ac.uk…☆37Updated 4 years ago
- PyTorch implementation of the paper "Privacy-preserving Few-shot Traffic Detection against Advanced Persistent Threats via Federated Meta…☆19Updated last year
- Federated Learning for Intrusion Detection System using the Flower framework and UNSW_NB15 dataset.☆27Updated last year
- Privacy Preserving Collaborative Encrypted Network Traffic Classification (Differential Privacy, Federated Learning, Membership Inference…☆125Updated 2 years ago
- ☆21Updated 11 months ago
- The purpose of this repository is to demonstrate the steps of processing CICIDS2017 dataset using machine learning algorithms.☆63Updated 5 years ago
- ☆14Updated last year
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆52Updated 5 years ago
- Code for intrusion detection system (IDS) development using CNN models and transfer learning☆187Updated 2 years ago
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆47Updated 5 years ago
- ☆46Updated 3 years ago
- Repository for IEEE CCNC'21 paper titled "Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network".☆47Updated 2 years ago
- Improving Transferability of Network Intrusion Detection in a Federated Learning Setup☆12Updated last year
- A Practical, Lightweight Deep Learning Solution for DDoS Attack Detection☆144Updated last year
- A Few-shot Based Model-Agnostic Meta-Learning for Intrusion Detection in Security of Internet of Things☆15Updated 7 months ago
- An automatic packet crafting tool for evading learning-based NIDS☆83Updated 3 years ago
- Detection of IoT devices infected by malwares from their network communications, using federated machine learning☆41Updated last year
- ☆89Updated last year
- ☆26Updated last year
- This is a simple DNN based application for an IDS based on the CICIDS2017 dataset☆35Updated 5 years ago
- LEXNet: A Lightweight, Efficient and Explainable-by-Design Convolutional Neural Network for Internet Traffic Classification☆17Updated 2 years ago
- Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution☆49Updated last year
- FedMSE: Semi-supervised federated learning approach for IoT network intrusion detection☆22Updated 6 months ago
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆35Updated 5 years ago