17 citations · 93 across the 22 of their papers we have counts for
24 papers
Purification Strategy Optimization for Entanglement Routing in Quantum Networks
Javier Vecino Peñas, Ana Fernández-Vilas, Rebeca P. Díaz-Redondo +2
Quantum networks rely on the efficient distribution of entanglement to enable long-distance quantum communication and information processing. A key challenge in these networks is t…
Decentralized Orchestration Architecture for Fluid Computing: A Secure Distributed AI Use Case
Diego Cajaraville-Aboy, Ana Fernández-Vilas, Rebeca P. Díaz-Redondo +2
Distributed AI and IoT applications increasingly execute across heterogeneous resources spanning end devices, edge/fog infrastructure, and cloud platforms, often under different ad…
Verifiable Split Learning via zk-SNARKs
Rana Alaa, Darío González-Ferreiro, Carlos Beis-Penedo +3
Split learning is an approach to collaborative learning in which a deep neural network is divided into two parts: client-side and server-side at a cut layer. The client side execut…
Hybrid Quantum Security for IPsec
Javier Blanco-Romero, Pedro Otero García, Daniel Sobral-Blanco +3
Quantum Key Distribution (QKD) offers information-theoretic security against quantum computing threats, but integrating QKD into existing security protocols remains an unsolved cha…
HLF-FSL. A Decentralized Federated Split Learning Solution for IoT on Hyperledger Fabric
Carlos Beis Penedo, Rebeca P. Díaz Redondo, Ana Fernández Vilas +2
Collaborative machine learning in sensitive domains demands scalable, privacy preserving solutions for enterprise deployment. Conventional Federated Learning (FL) relies on a centr…
Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulator
Alberto Bazán-Guillén, Carlos Beis-Penedo, Diego Cajaraville-Aboy +6
Realistic urban traffic simulation is essential for sustainable urban planning and the development of intelligent transportation systems. However, generating high-fidelity, time-va…
Network-wide Quantum Key Distribution with Onion Routing Relay
Pedro Otero-García, David Pérez-Castro, Manuel Fernández-Veiga +1
The advancement of quantum computing threatens classical cryptographic methods, necessitating the development of secure quantum key distribution (QKD) solutions for QKD Networks (Q…
Network-wide Quantum Key Distribution with Onion Routing Relay (Conference Version)
Pedro Otero-García, David Pérez-Castro, Manuel Fernández-Veiga +1
The advancement of quantum computing threatens classical cryptographic methods, necessitating the development of secure quantum key distribution (QKD) solutions for QKD Networks (Q…
Privacy-aware Berrut Approximated Coded Computing applied to general distributed learning
Xavier Martínez-Luaña, Manuel Fernández-Veiga, Rebeca P. Díaz-Redondo +1
Coded computing is one of the techniques that can be used for privacy protection in Federated Learning. However, most of the constructions used for coded computing work only under…
CO-DEFEND: Continuous Decentralized Federated Learning for Secure DoH-Based Threat Detection
Diego Cajaraville-Aboy, Marta Moure-Garrido, Carlos Beis-Penedo +5
The use of DNS over HTTPS (DoH) tunneling by an attacker to hide malicious activity within encrypted DNS traffic poses a serious threat to network security, as it allows malicious…
QKD-KEM: Hybrid QKD Integration into TLS with OpenSSL Providers
Javier Blanco-Romero, Pedro Otero García, Daniel Sobral-Blanco +3
Quantum Key Distribution (QKD) promises information-theoretic security, yet integrating QKD into existing protocols like TLS remains challenging due to its fundamentally different…
Onion Routing Key Distribution for QKDN
Pedro Otero-García, Javier Blanco-Romero, Ana Fernández-Vilas +3
The advance of quantum computing poses a significant threat to classical cryptography, compromising the security of current encryption schemes such as RSA and ECC. In response to t…
Introducing Post-Quantum algorithms in Open RAN interfaces
Pedro Otero-García, Ana Fernández-Vilas, Manuel Fernández-Veiga
Nowadays, 5G architecture is characterized by the use of monolithic hardware, where the configuration of its elements is completely proprietary for each manufacturer. In recent yea…
Simulation of entanglement based quantum networks for performance characterization
David Pérez Castro, Juan Fernández-Herrerín, Ana Fernández-Vilas +2
Entanglement-based networks (EBNs) enable general-purpose quantum communication by combining entanglement and its swapping in a sequence that addresses the challenges of achieving…
Simulation of fidelity in entanglement-based networks with repeater chains
David Pérez Castro, Ana Fernández Vilas, Manuel Fernández-Veiga +2
We implement a simulation environment on top of NetSquid that is specifically designed for estimating the end-to-end fidelity across a path of quantum repeaters or quantum switches…
Attribute-Based Authentication in Secure Group Messaging for Distributed Environments and Safer Online Spaces
David Soler, Carlos Dafonte, Manuel Fernández-Veiga +2
The Messaging Layer security (MLS) and its underlying Continuous Group Key Agreement (CGKA) protocol allows a group of users to share a cryptographic secret in a dynamic manner, su…
QKDNetSim+: Improvement of the Quantum Network Simulator for NS-3
David Soler, Iván Cillero, Carlos Dafonte +3
The first Quantum Key Distribution (QKD) networks are currently being deployed, but the implementation cost is still prohibitive for most researchers. As such, there is a need for…
A Privacy-preserving key transmission protocol to distribute QRNG keys using zk-SNARKs
David Soler, Carlos Dafonte, Manuel Fernández-Veiga +2
High-entropy random numbers are an essential part of cryptography, and Quantum Random Number Generators (QRNG) are an emergent technology that can provide high-quality keys for cry…
Interplay between Cryptocurrency Transactions and Online Financial Forums
Ana Fernández Vilas, Rebeca P. Díaz Redondo, Daniel Couto Cancela +1
Cryptocurrencies are a type of digital money meant to provide security and anonymity while using cryptography techniques. Although cryptocurrencies represent a breakthrough and pro…
Decentralised and collaborative machine learning framework for IoT
Martín González-Soto, Rebeca P. Díaz-Redondo, Manuel Fernández-Veiga +2
Decentralised machine learning has recently been proposed as a potential solution to the security issues of the canonical federated learning approach. In this paper, we propose a d…
Impact of Computer-Based Assessments on the Science's Ranks of Secondary Students
Eduardo A. Soto Rodríguez, Ana Fernández Vilas, Rebeca P. Díaz Redondo
This study reports the impact of examining either with digital or paper-based tests in science subjects taught across the second-ary level. With our method, we compare the percenti…
Classification of retail products: From probabilistic ranking to neural networks
Manar Mohamed Hafez, Rebeca P. Díaz Redondo, Ana Fernández-Vilas +1
Food retailing is now on an accelerated path to a success penetration into the digital market by new ways of value creation at all stages of the consumer decision process. One of t…
Anti-Sexism Alert System: Identification of Sexist Comments on Social Media Using AI Techniques
Rebeca P. Díaz Redondo, Ana Fernández Vilas, Mateo Ramos Merino +3
Social relationships in the digital sphere are becoming more usual and frequent, and they constitute a very important aspect for all of us. {Violent interactions in this sphere are…
Towards Adaptive RF Fingerprint-based Authentication of IIoT devices
Emmanuel Lomba, Ricardo Severino, Ana Fernández Vilas
As IoT technologies mature, they are increasingly finding their way into more sensitive domains, such as Medical and Industrial IoT, in which safety and cyber-security are of great…