nepiskopos / simple_ids_with_flwr_iec104Links
Training of a simple Neural Network model as an Intrusion Detection System for Cybersecurity defense using Federated Learning with the Flower framework.
☆16Updated last year
Alternatives and similar repositories for simple_ids_with_flwr_iec104
Users that are interested in simple_ids_with_flwr_iec104 are comparing it to the libraries listed below
Sorting:
- Training of a simple Neural Network model as an Intrusion Detection System for Cybersecurity defense using Federated Learning with the Te…☆17Updated 3 years ago
- ☆17Updated 11 months ago
- Code for the IEEE IoTJ paper "Semi-Supervised Federated Learning Based Intrusion Detection Method for Internet of Things"☆33Updated 3 years ago
- FL-based intrusion detection system development using model averaging.☆41Updated 3 years ago
- Federated Learning in Network Intrusion Detection☆14Updated 2 years ago
- Federated Learning for Intrusion Detection System using the Flower framework and UNSW_NB15 dataset.☆28Updated 2 years ago
- Codes for the paper entitled "Optimization of Predictive Performance of Intrusion Detection System Using Hybrid Ensemble Model for Secure…☆16Updated 2 years ago
- This study proposes a two- level classification technique for the anomaly detection-based IDS architecture for fog-edge sides. Targeted f…☆13Updated 3 years ago
- ☆15Updated 3 years ago
- IoT networks have become an increasingly valuable target of malicious attacks due to the increased amount of valuable user data they cont…☆27Updated 3 years ago
- Two staged IDS specific to IoT networks where Signature based IDS and Anomaly based IDS which is trained and classified using machine lea…☆45Updated 6 years ago
- ☆22Updated last year
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆35Updated 5 years ago
- Apply Federated Learning and Deep Learning (Deep Auto-encoder) to detect abnormal data for IoT devices.☆36Updated 3 years ago
- Detection of IoT devices infected by malwares from their network communications, using federated machine learning☆40Updated last year
- Improving Transferability of Network Intrusion Detection in a Federated Learning Setup☆13Updated 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。☆30Updated 2 years ago
- Network Intrusion Detection based on various machine learning and deep learning algorithms using UNSW-NB15 Dataset☆188Updated 4 years ago
- Machine Learning Algorithms on NSL-KDD dataset☆98Updated 6 years ago
- The case study on a Network-based Intrusion Detection System is a Machine Learning-based Web application based on https://arxiv.org/pdf/1…☆26Updated 3 years ago
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆48Updated 5 years ago
- Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks☆49Updated last year
- Intrusion Detection System using Machine Learning and Deep Learning☆88Updated 2 years ago
- Network intrusions classification using algorithms such as Support Vector Machine (SVM), Decision Tree, Naive Baye, K-Nearest Neighbor (K…☆102Updated 8 years ago
- Basic Blockchain-Based Federated Learning Intrusion Detection System☆12Updated 3 years ago
- Adaptive Federated Learning Approach to DDoS attack detection☆53Updated last week
- The implementation of CDW_FedAvg in the paper "Blockchain-Based Federated Learning for Device Failure Detection in Industrial IoT"☆33Updated 4 years ago
- FedMSE: Semi-supervised federated learning approach for IoT network intrusion detection☆25Updated 9 months ago
- An Intrusion Detection System based on Deep Belief Networks☆90Updated 3 years ago
- Neural Network based Intrusion Detection System (NIDS) on Intrusion Detection Evaluation Dataset (CICIDS2017)☆12Updated 5 years ago