195 citations
- GAIKER Technology CentreES10 papers
- University of the Basque CountryES7 papers
- Mondragon UnibertsitateaES5 papers
- Universitat de Miguel Hernández d'ElxES3 papers
- École Supérieure des Technologies Industrielles AvancéesFR2 papers
- University of WarwickGB2 papers
- Active Technologies (Italy)IT1 paper
- Centre Tecnologic de Telecomunicacions de CatalunyaES1 paper
- Donostia International Physics CenterES1 paper
- IBM (United States)US1 paper
- IkerbasqueES1 paper
- Multiverse Computing (Spain)ES1 paper
6 papers · 1 filter
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…
Sneaky Spikes: Uncovering Stealthy Backdoor Attacks in Spiking Neural Networks with Neuromorphic Data
Gorka Abad, Oguzhan Ersoy, Stjepan Picek +1
Deep neural networks (DNNs) have demonstrated remarkable performance across various tasks, including image and speech recognition. However, maximizing the effectiveness of DNNs req…
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…
Securing IIoT using Defence-in-Depth: Towards an End-to-End Secure Industry 4.0
Aintzane Mosteiro-Sanchez, Marc Barcelo, Jasone Astorga +1
Industry 4.0 uses a subset of the IoT, named Industrial IoT (IIoT), to achieve connectivity, interoperability, and decentralization. The deployment of industrial networks rarely co…
End to End Secure Data Exchange in Value Chains with Dynamic Policy Updates
Aintzane Mosteiro-Sanchez, Marc Barcelo, Jasone Astorga +1
Data exchange among value chain partners provides them with a competitive advantage, but the risk of exposing sensitive data is ever-increasing. Information must be protected in st…
A Novel Model for Vulnerability Analysis through Enhanced Directed Graphs and Quantitative Metrics
Ángel Longueira-Romero, Rosa Iglesias, Jose Luis Flores +1
Industrial components are of high importance because they control critical infrastructures that form the lifeline of modern societies. However, the rapid evolution of industrial co…