dual-grp / FedPCA_AnomalyDetection
Federated PCA on Grassmann Manifold for IoT Anomaly Detection
☆17Updated 9 months ago
Alternatives and similar repositories for FedPCA_AnomalyDetection
Users that are interested in FedPCA_AnomalyDetection are comparing it to the libraries listed below
Sorting:
- Code for the IEEE IoTJ paper "Semi-Supervised Federated Learning Based Intrusion Detection Method for Internet of Things"☆29Updated 2 years ago
- FL-based intrusion detection system development using model averaging.☆37Updated 2 years ago
- Improving Transferability of Network Intrusion Detection in a Federated Learning Setup☆12Updated last year
- Communication-efficient federated continual learning☆16Updated 2 years ago
- ☆9Updated 2 years ago
- Federated Learning in Network Intrusion Detection☆12Updated 2 years ago
- ☆13Updated 3 months ago
- Repository for IEEE CCNC'21 paper titled "Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network".☆46Updated last year
- Federated Learning for Intrusion Detection System using the Flower framework and UNSW_NB15 dataset.☆21Updated last year
- CANET: An Effective CNN-Attention Model for Network Intrusion Detection☆33Updated 2 years ago
- ☆12Updated last year
- ☆11Updated 3 years ago
- ☆21Updated 6 months ago
- Classifying different types of attacks in VANET system using federated learning and comparing the accuracy, precision and recall values w…☆9Updated 4 years ago
- A Few-shot Based Model-Agnostic Meta-Learning for Intrusion Detection in Security of Internet of Things☆12Updated 2 months ago
- ☆9Updated last year
- PyTorch implementation of the paper "Privacy-preserving Few-shot Traffic Detection against Advanced Persistent Threats via Federated Meta…☆15Updated last year
- Code Snippet used to convert CSV dataset into Images in IEEE Published Article: IoT DoS and DDoS Attack Detection using ResNet☆14Updated 3 years ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆52Updated 5 years ago
- Apply Federated Learning and Deep Learning (Deep Auto-encoder) to detect abnormal data for IoT devices.☆34Updated 2 years ago
- ☆18Updated 4 years ago
- 论文Encrypted Traffic Classification with One-dimensional Convolution Neural Networks的torch实现☆35Updated 2 years ago
- FedMSE: Semi-supervised federated learning approach for IoT network intrusion detection☆16Updated last month
- ☆13Updated 2 years ago
- Code for the paper: "AOC-IDS: Autonomous Online Framework with Contrastive Learning for Intrusion Detection" (Infocom 2024)☆18Updated 5 months ago
- An intelligent classifier based Intrusion Detection System for IoV’s based on Neural Networks like optimized CNN, transfer learning and e…☆18Updated 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。☆26Updated last year
- ☆19Updated 3 months ago
- LEXNet: A Lightweight, Efficient and Explainable-by-Design Convolutional Neural Network for Internet Traffic Classification☆14Updated last year
- Code for the case study presented in "Making a Case for Federated Learning in the Internet of Vehicles and Intelligent Transportation Sys…☆25Updated 4 years ago