ValerianRey / fed_iot_guardLinks
Detection of IoT devices infected by malwares from their network communications, using federated machine learning
☆40Updated last year
Alternatives and similar repositories for fed_iot_guard
Users that are interested in fed_iot_guard are comparing it to the libraries listed below
Sorting:
- FL-based intrusion detection system development using model averaging.☆38Updated 2 years ago
- Code for the IEEE IoTJ paper "Semi-Supervised Federated Learning Based Intrusion Detection Method for Internet of Things"☆28Updated 2 years ago
- ☆14Updated 4 months ago
- Federated Learning for Intrusion Detection System using the Flower framework and UNSW_NB15 dataset.☆22Updated last year
- Adaptive Federated Learning Approach to DDoS attack detection☆48Updated 6 months ago
- ☆21Updated 7 months 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。☆27Updated last year
- Training of a simple Neural Network model as an Intrusion Detection System for Cybersecurity defense using Federated Learning with the Fl…☆15Updated last year
- ☆12Updated last year
- Privacy Preserving Collaborative Encrypted Network Traffic Classification (Differential Privacy, Federated Learning, Membership Inference…☆125Updated 2 years ago
- This is a simple DNN based application for an IDS based on the CICIDS2017 dataset☆33Updated 4 years ago
- Journal Article: Telematics and Informatics Reports☆12Updated last year
- An Intrusion Detection System based on Deep Belief Networks☆83Updated 2 years ago
- Federated Learning in Network Intrusion Detection☆13Updated 2 years ago
- A backdoor attack by vulnerability amplification on online machine learning-based network intrusion detection system☆21Updated 3 years ago
- PyTorch implementation of the paper "Privacy-preserving Few-shot Traffic Detection against Advanced Persistent Threats via Federated Meta…☆16Updated last year
- ☆9Updated 2 years ago
- Implementation of Robust Transformer Based Intrusion Detection, based on the Paper by Wu et. Al☆22Updated 8 months ago
- Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks☆44Updated 8 months ago
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆47Updated 5 years ago
- One Train for Two Tasks: An Encrypted Traffic Classification Framework Using Supervised Contrastive Learning☆40Updated last year
- ☆41Updated 2 years ago
- Repository for IEEE CCNC'21 paper titled "Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network".☆46Updated last year
- An intelligent classifier based Intrusion Detection System for IoV’s based on Neural Networks like optimized CNN, transfer learning and e…☆18Updated 3 years ago
- ☆14Updated 2 years ago
- ☆18Updated 4 years ago
- Improving Transferability of Network Intrusion Detection in a Federated Learning Setup☆12Updated last year
- 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
- Development of a transfer learning system for the detection of cyber-attacks in 5G and IoT networks. Transfer learning will improve the a…☆13Updated 2 years ago
- Basic Blockchain-Based Federated Learning Intrusion Detection System☆11Updated 2 years ago