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20212026
most citedClustered Federated Learning Architecture for Network Anomaly Detection in Large Scale Heterogeneous IoT Networks

139 citations · 265 across the 13 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

cs.CR2022★ 2 cited

Too Many Options: A Survey of ABE Libraries for Developers

Aintzane Mosteiro-Sanchez, Marc Barcelo, Jasone Astorga +1

Attribute-based encryption (ABE) comprises a set of one-to-many encryption schemes that allow the encryption and decryption of data by associating it with access policies and attri…

cs.CR2022★ 37 cited

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…

cs.CR2022

Sniper Backdoor: Single Client Targeted Backdoor Attack in Federated Learning

Gorka Abad, Servio Paguada, Oguzhan Ersoy +3

Federated Learning (FL) enables collaborative training of Deep Learning (DL) models where the data is retained locally. Like DL, FL has severe security weaknesses that the attacker…

cs.CR2022★ 65 cited

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…

cs.CR2022★ 5 cited

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…