nepiskopos / simple_ids_with_flwr_iec104
Training of a simple Neural Network model as an Intrusion Detection System for Cybersecurity defense using Federated Learning with the Flower framework.
☆14Updated 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…☆16Updated 2 years ago
- Code for the IEEE IoTJ paper "Semi-Supervised Federated Learning Based Intrusion Detection Method for Internet of Things"☆29Updated 2 years ago
- ☆13Updated 3 months ago
- FL-based intrusion detection system development using model averaging.☆37Updated 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.☆21Updated last year
- Apply Federated Learning and Deep Learning (Deep Auto-encoder) to detect abnormal data for IoT devices.☆34Updated 2 years ago
- Detection of IoT devices infected by malwares from their network communications, using federated machine learning☆39Updated last year
- Basic Blockchain-Based Federated Learning Intrusion Detection System☆11Updated 2 years ago
- ☆13Updated 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
- 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
- ☆21Updated 6 months ago
- ☆9Updated 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 2 years 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
- IoT networks have become an increasingly valuable target of malicious attacks due to the increased amount of valuable user data they cont…☆26Updated 2 years ago
- harshilpatel1799 / IoT-Network-Intrusion-Detection-and-Classification-using-Explainable-XAI-Machine-LearningThe continuing increase of Internet of Things (IoT) based networks have increased the need for Computer networks intrusion detection sys…☆51Updated 4 years ago
- 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
- Codes for the paper entitled "Optimization of Predictive Performance of Intrusion Detection System Using Hybrid Ensemble Model for Secure…☆15Updated last year
- Adaptive Federated Learning Approach to DDoS attack detection☆46Updated 5 months ago
- Repository for IEEE CCNC'21 paper titled "Edge-Detect: Edge-centric Network Intrusion Detection using Deep Neural Network".☆46Updated last year
- Improving Transferability of Network Intrusion Detection in a Federated Learning Setup☆12Updated last year
- ☆11Updated 3 years ago
- Protocol-Based Deep Intrusion Detection for DoS and DDoS Attacks Using UNSW-NB15 and Bot-IoT Data-Sets☆22Updated 3 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…☆14Updated 2 years ago
- The implementation of CDW_FedAvg in the paper "Blockchain-Based Federated Learning for Device Failure Detection in Industrial IoT"☆33Updated 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…☆43Updated 5 years ago
- This is a simple DNN based application for an IDS based on the CICIDS2017 dataset☆32Updated 4 years ago
- Official repository of the paper "The Cross-evaluation of Machine Learning-based Network Intrusion Detection Systems".☆9Updated 3 years ago