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20192026
most citedFedRDF: A Robust and Dynamic Aggregation Function against Poisoning Attacks in Federated Learning

1 citations · 2 across the 6 of their papers we have counts for

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cs.CR2026

ICS Cybersecurity Datasets: A Systematic Meta-Review of Coverage, Evaluation Practice, and Structural Gaps

Konstantinos E. Kampourakis, Vyron Kampourakis, Georgios Kambourakis +4

Intrusion detection research in Industrial Control Systems (ICS) heavily depends on public datasets, yet no prior work has systematically assessed whether the collective dataset co…

cs.CR2025

On the Security and Privacy of Federated Learning: A Survey with Attacks, Defenses, Frameworks, Applications, and Future Directions

Daniel M. Jimenez-Gutierrez, Yelizaveta Falkouskaya, Jose L. Hernandez-Ramos +3

Federated Learning (FL) is an emerging distributed machine learning paradigm enabling multiple clients to train a global model collaboratively without sharing their raw data. While…

cs.CR2021

Sharing pandemic vaccination certificates through blockchain: Case study and performance evaluation

José Luis Hernández-Ramos, Georgios Karopoulos, Dimitris Geneiatakis +3

This work proposes a scalable, blockchain-based platform for the secure sharing of COVID-19 or other disease vaccination certificates. As an indicative use case, we simulate a larg…

cs.CR2020

Demystifying COVID-19 digital contact tracing: A survey on frameworks and mobile apps

Tania Martin, Georgios Karopoulos, José L. Hernández-Ramos +2

The coronavirus pandemic is a new reality and it severely affects the modus vivendi of the international community. In this context, governments are rushing to devise or embrace no…

cs.CR2019

Toward a Blockchain-based Platform to Manage Cybersecurity Certification of IoT devices

Ricardo Neisse, José L. Hernández-Ramos, Sara N. Matheu +2

The goal of this paper is to propose a blockchain-based platform to enhance transparency and traceability of cybersecurity certification information motivated by the recently adopt…