4 papers
Evaluating Federated Learning for Intrusion Detection in Internet of Things: Review and Challenges
Enrique Mármol Campos, Pablo Fernández Saura, Aurora González-Vidal +4
The application of Machine Learning (ML) techniques to the well-known intrusion detection systems (IDS) is key to cope with increasingly sophisticated cybersecurity attacks through…
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…
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…
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…