dual-grp / FedPCA_AnomalyDetectionLinks
About the code release for "Federated PCA on Grassmann Manifold for IoT Anomaly Detection" ToN2024
☆18Updated 3 weeks 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"☆28Updated 2 years ago
- Improving Transferability of Network Intrusion Detection in a Federated Learning Setup☆12Updated last year
- FL-based intrusion detection system development using model averaging.☆38Updated 2 years ago
- ☆9Updated 2 years ago
- ☆14Updated 4 months ago
- Federated Learning in Network Intrusion Detection☆13Updated 2 years ago
- Code for the paper: "AOC-IDS: Autonomous Online Framework with Contrastive Learning for Intrusion Detection" (Infocom 2024)☆20Updated 6 months ago
- Communication-efficient federated continual learning☆17Updated 2 years ago
- ☆12Updated last year
- Repository for IEEE CCNC'21 paper titled "Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network".☆46Updated last year
- ☆11Updated 3 years ago
- Federated Learning for Intrusion Detection System using the Flower framework and UNSW_NB15 dataset.☆24Updated last year
- CANET: An Effective CNN-Attention Model for Network Intrusion Detection☆34Updated 2 years ago
- ☆13Updated last year
- ☆15Updated 2 years ago
- PyTorch implementation of the paper "Privacy-preserving Few-shot Traffic Detection against Advanced Persistent Threats via Federated Meta…☆16Updated last year
- Code for the case study presented in "Making a Case for Federated Learning in the Internet of Vehicles and Intelligent Transportation Sys…☆26Updated 4 years ago
- Apply Federated Learning and Deep Learning (Deep Auto-encoder) to detect abnormal data for IoT devices.☆34Updated 2 years ago
- 论文Encrypted Traffic Classification with One-dimensional Convolution Neural Networks的torch实现☆36Updated 2 years ago
- Training of a simple Neural Network model as an Intrusion Detection System for Cybersecurity defense using Federated Learning with the Fl…☆15Updated last year
- Implementation of Research Paper titled: An explainable AI based Intrusion Detection System for DNS over HTTPS (DoH) Attacks on CICIDS da…☆10Updated last year
- ☆14Updated 2 years 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
- LEXNet: A Lightweight, Efficient and Explainable-by-Design Convolutional Neural Network for Internet Traffic Classification☆14Updated last year
- Implement a VAE to learn a reduced state space representation from the NSL-KDD dataset, capturing essential features of normal network t…☆13Updated last year
- Federated Learning for Internet of Things: A Federated Learning Framework for On-device Anomaly Data Detection, backed by FedML, Inc.☆44Updated 2 years ago
- Code for paper: Contrastive Learning Enhanced Intrusion Detection☆18Updated 2 years ago
- ☆21Updated 8 months ago
- ☆11Updated 3 years ago
- ☆18Updated 4 years ago