Federated-learning-based anomaly detection for IoT security attacks
V Mothukuri, P Khare, RM Parizi… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
… propose federated learning (FL)-based anomaly detection approach to proactively recognize
intrusion in IoT networks using decentralized on-device data. Our approach uses federated …
intrusion in IoT networks using decentralized on-device data. Our approach uses federated …
Chained anomaly detection models for federated learning: An intrusion detection case study
… We present a solution where contributing parties in federated learning can be held …
federated learning method where incremental updates to an anomaly detection machine learning …
federated learning method where incremental updates to an anomaly detection machine learning …
Multi-task network anomaly detection using federated learning
… Moreover, most of the previous works focus on one specific task of anomaly detection, …
neural network in federated learning (MT-DNN-FL) to perform network anomaly detection task, …
neural network in federated learning (MT-DNN-FL) to perform network anomaly detection task, …
Deep anomaly detection for time-series data in industrial IoT: A communication-efficient on-device federated learning approach
… -efficient on-device federated learning (FL)-based deep anomaly detection framework for …
edge devices to collaboratively train an anomaly detection model, which can improve its …
edge devices to collaboratively train an anomaly detection model, which can improve its …
A federated learning approach to anomaly detection in smart buildings
… and federated learning approaches for anomaly detection in a … In Section 3, we present our
federated learning system as … a novel federated learning architecture for anomaly detection in …
federated learning system as … a novel federated learning architecture for anomaly detection in …
Security and privacy-enhanced federated learning for anomaly detection in IoT infrastructures
… design a decentralized IoT anomaly detection framework, in which … secure and accurate IoT
anomaly detection. The main … asynchronous federated learning-based IoT anomaly detection …
anomaly detection. The main … asynchronous federated learning-based IoT anomaly detection …
Detecting cyberattacks using anomaly detection in industrial control systems: A federated learning approach
… An anomaly detection architecture for the IIoT-based SM is … - a Federated Learning architecture
- that can detect anomalies for … detection performance compared to the current detection …
- that can detect anomalies for … detection performance compared to the current detection …
Toward accurate anomaly detection in industrial internet of things using hierarchical federated learning
… a reliable anomaly detection strategy for IIoT using federated learning. Specifically, we
apply the federated learning technique to build a universal anomaly detection model with each …
apply the federated learning technique to build a universal anomaly detection model with each …
Abnormal client behavior detection in federated learning
… We consider a horizontal federated learning system consisting of one … anomaly detection
model at the server to detect the anomalous clients and to eliminate their impact on federated …
model at the server to detect the anomalous clients and to eliminate their impact on federated …
Anomaly detection using federated learning
S Singh, S Bhardwaj, H Pandey, G Beniwal - Proceedings of International …, 2021 - Springer
… In conclusion, we implemented federated learning with the help of PyTorch and PySyft
using two datasets of Unsupervised Anomaly Detection Dataverse from Harvard Dataverse [11]. …
using two datasets of Unsupervised Anomaly Detection Dataverse from Harvard Dataverse [11]. …
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