nepiskopos / simple_ids_with_tffLinks
Training of a simple Neural Network model as an Intrusion Detection System for Cybersecurity defense using Federated Learning with the TensorFlow Federated framework.
☆17Updated 3 years ago
Alternatives and similar repositories for simple_ids_with_tff
Users that are interested in simple_ids_with_tff 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 Fl…☆16Updated last year
- Basic Blockchain-Based Federated Learning Intrusion Detection System☆11Updated 3 years ago
- ☆14Updated 2 years ago
- ☆15Updated 10 months ago
- Code for the IEEE IoTJ paper "Semi-Supervised Federated Learning Based Intrusion Detection Method for Internet of Things"☆29Updated 2 years ago
- Federated Learning in Network Intrusion Detection☆13Updated 2 years ago
- FL-based intrusion detection system development using model averaging.☆40Updated 2 years ago
- Apply Federated Learning and Deep Learning (Deep Auto-encoder) to detect abnormal data for IoT devices.☆35Updated 3 years ago
- ☆22Updated last year
- The implementation of CDW_FedAvg in the paper "Blockchain-Based Federated Learning for Device Failure Detection in Industrial IoT"☆33Updated 4 years ago
- Detection of IoT devices infected by malwares from their network communications, using federated machine learning☆40Updated last year
- A try for federated learning with Resnet on CIFAR10 using Cloud-Edge-Client framework.☆21Updated 5 years ago
- Federated Learning for Intrusion Detection System using the Flower framework and UNSW_NB15 dataset.☆28Updated last year
- 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
- Codes for the paper entitled "Optimization of Predictive Performance of Intrusion Detection System Using Hybrid Ensemble Model for Secure…☆15Updated 2 years ago
- Adaptive Federated Learning Approach to DDoS attack detection☆52Updated last year
- 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…☆57Updated 4 years ago
- 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
- Three implementations of FedAvg: numpy, pytorch and tensorflow federated.☆45Updated 3 years ago
- Improving Transferability of Network Intrusion Detection in a Federated Learning Setup☆13Updated last year
- Development of a transfer learning system for the detection of cyber-attacks in 5G and IoT networks. Transfer learning will improve the a…☆13Updated 3 years ago
- 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
- Code for intrusion detection system (IDS) development using CNN models and transfer learning☆195Updated 2 years ago
- Supervised Learning approach to Detect Anomalies in Blockchain using Federated Learning☆34Updated 5 years ago
- This is the source code of "Intrusion Detection of Industrial Internet-of-Things Based on Reconstructed Graph Neural Networks"☆12Updated last year
- 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
- ☆11Updated 3 years ago
- A Proof-of-Stake (PoS) blockchain-based Federated Learning framework with a validation scheme robust against the distorted local model up…☆23Updated 2 years ago
- This repository presents a blockchain-based framework, TrustFed, for Cross-Device Federated Learning systems to detect the model poisonin…☆12Updated 3 years ago
- SRDS 2020: End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things☆114Updated 4 years ago