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 2 years ago
- ☆15Updated 6 months ago
- 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.☆39Updated 2 years ago
- Federated Learning in Network Intrusion Detection☆13Updated 2 years ago
- Federated Learning for Intrusion Detection System using the Flower framework and UNSW_NB15 dataset.☆25Updated last year
- IoT networks have become an increasingly valuable target of malicious attacks due to the increased amount of valuable user data they cont…☆27Updated 2 years ago
- Network Intrusion Detection based on various machine learning and deep learning algorithms using UNSW-NB15 Dataset☆175Updated 3 years ago
- ☆14Updated 2 years ago
- An Intrusion Detection System based on Deep Belief Networks☆85Updated 2 years ago
- Improving Transferability of Network Intrusion Detection in a Federated Learning Setup☆12Updated last year
- Anomaly based Instrusion Detection System using RNN-LSTMs. Datasets include NSL-KDD and UNSW-NB15.☆35Updated 4 years ago
- Adaptive Federated Learning Approach to DDoS attack detection☆49Updated 9 months 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
- ☆21Updated 10 months ago
- Code for intrusion detection system (IDS) development using CNN models and transfer learning☆180Updated 2 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
- 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
- Network related services, programs and applications are developing greatly, however, network security breaches are also developing with t…☆24Updated 4 years ago
- Basic Blockchain-Based Federated Learning Intrusion Detection System☆11Updated 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。☆28Updated 2 years ago
- Network intrusion detection with Machine Learning (Deep Learning) experiment : 1d-cnn, softmax, neural networks, convolution☆47Updated last year
- Journal Article: Telematics and Informatics Reports☆11Updated 2 years ago
- Machine Learning Algorithms on NSL-KDD dataset☆100Updated 6 years ago
- This study proposes a two- level classification technique for the anomaly detection-based IDS architecture for fog-edge sides. Targeted f…☆13Updated 2 years ago
- Intrusion Detection System using Deep Reinforcement Learning and Generative Adversarial Networks☆46Updated 11 months ago
- Intrusion detection system using CNN and RNN☆24Updated 5 years ago
- Codes for the paper entitled "Optimization of Predictive Performance of Intrusion Detection System Using Hybrid Ensemble Model for Secure…☆14Updated 2 years ago
- Pytorch implementation of LuNet: A Deep Neural Network for Network Intrusion Detection☆52Updated 5 years ago
- Our implementations of the flow-based network intrusion detection model (for the COMNET paper)☆46Updated 5 years ago