139 citations · 228 across the 6 of their papers we have counts for
4 papers · 1 filter
Privacy-Preserving Feature Valuation in Vertical Federated Learning Using Shapley-CMI and PSI Permutation
Unai Laskurain, Aitor Aguirre-Ortuzar, Urko Zurutuza
Federated Learning (FL) is an emerging machine learning paradigm that enables multiple parties to collaboratively train models without sharing raw data, ensuring data privacy. In V…
Clustered Federated Learning Architecture for Network Anomaly Detection in Large Scale Heterogeneous IoT Networks
Xabier Sáez-de-Cámara, Jose Luis Flores, Cristóbal Arellano +2
There is a growing trend of cyberattacks against Internet of Things (IoT) devices; moreover, the sophistication and motivation of those attacks is increasing. The vast scale of IoT…
Gotham Testbed: a Reproducible IoT Testbed for Security Experiments and Dataset Generation
Xabier Sáez-de-Cámara, Jose Luis Flores, Cristóbal Arellano +2
The growing adoption of the Internet of Things (IoT) has brought a significant increase in attacks targeting those devices. Machine learning (ML) methods have shown promising resul…
On the Feasibility of Distinguishing Between Process Disturbances and Intrusions in Process Control Systems Using Multivariate Statistical Process Control
Mikel Iturbe, José Camacho, Iñaki Garitano +2
Process Control Systems (PCSs) are the operating core of Critical Infrastructures (CIs). As such, anomaly detection has been an active research field to ensure CI normal operation.…