Listar por autor "Nóvoa, Francisco"
Mostrando ítems 1-20 de 21
-
A genetic algorithms-based approach for optimizing similarity aggregation in ontology matching
Martínez-Romero, Marcos; Vázquez-Naya, José; Nóvoa, Francisco; Vázquez, Guillermo; Pereira-Loureiro, Javier (Springer, 2013)[Abstract] Ontology matching consists of finding the semantic relations between different ontologies and is widely recognized as an essential process to achieve an adequate interoperability between people, systems or ... -
A privacy-preserving key transmission protocol to distribute QRNG keys using zk-SNARKs
Soler, David; Dafonte, Carlos; Fernández Veiga, Manuel; Fernández Vilas, Ana; Nóvoa, Francisco (Elsevier B.V., 2024-04)[Absctract]: 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 cryptographic algorithms but ... -
AI-based user authentication reinforcement by continuous extraction of behavioral interaction features
Garabato, D.; Dafonte, Carlos; Santovena, Raul; Silvelo, Arturo; Nóvoa, Francisco; Manteiga, Minia (Springer, 2022-07)[Abstract]: In this work, we conduct an experiment to analyze the feasibility of a continuous authentication method based on the monitorization of the users' activity to verify their identities through specific user profiles ... -
Analysis of the NS-3 module QKDNetSim for the Simulation of QKD Networks
Soler, David; Cillero Seijas, Iván; Nóvoa, Francisco; Dafonte, Carlos; Fernández Vilas, Ana; Fernández Veiga, Manuel (Universidade da Coruña, Servizo de Publicacións, 2023)[Abstract] Quantum Key Distribution (QKD) is a promising technology that allows two nodes to privately agree on a key through a quantum channel. Unfortunately, QKD is still in experimental phase and researchers must rely ... -
Automatic multiscale vascular image segmentation algorithm for coronary angiography
Carballal, Adrián; Nóvoa, Francisco; Fernández-Lozano, Carlos; García-Guimaraes, Marcos; Aldama López, Guillermo; Calviño-Santos, Ramón; Vázquez Rodríguez, José Manuel; Pazos, A. (Elsevier, 2018-09)[Abstract] Cardiovascular diseases, particularly severe stenosis, are the main cause of death in the western world. The primary method of diagnosis, considered to be the standard in the detection and quantification of ... -
Un concurso de cortos para el refuerzo pedagógico y la mejora de la participación del alumnado
Fernández, Diego; Cacheda, Fidel; Nóvoa, Francisco; Carneiro, Víctor (2018)[Resumen] En la asignatura de Redes del Grado en Ingeniería Informática de la Universidade da Coruña se explican los fundamentos de la comunicación a través de una red de computadores. Para incentivar la participación ... -
Early Detection of Cyberbullying on Social Media Networks
López-Vizcaíno, Manuel F.; Nóvoa, Francisco; Carneiro, Víctor; Cacheda, Fidel (Elsevier BV, 2021-05)[Abstract] Cyberbullying is an important issue for our society and has a major negative effect on the victims, that can be highly damaging due to the frequency and high propagation provided by Information Technologies. ... -
Early Detection of Depression: Social Network Analysis and Random Forest Techniques
Cacheda, Fidel; Fernández, Diego; Nóvoa, Francisco; Carneiro, Víctor (J M I R Publications, Inc., 2019-06-10)[Abstract] Background: Major depressive disorder (MDD) or depression is among the most prevalent psychiatric disorders, affecting more than 300 million people globally. Early detection is critical for rapid intervention, ... -
Hardening of a Continuous Behavior-based Authentication Distributed System
González-Muñoz, Julián; Casado, Mario; Garabato, D; Nóvoa, Francisco; Dafonte, Carlos (Universidade da Coruña, Servizo de Publicacións, 2023)[Abstract] Password-based traditional authentication systems are increasingly insufficient when it comes to providing security and checking the identity of the authenticated user. What happens when the password of an ... -
IoT Dataset Validation Using Machine Learning Techniques for Traffic Anomaly Detection
Vigoya, Laura; Fernández, Diego; Carneiro, Víctor; Nóvoa, Francisco (MDPI, 2021)[Abstract] With advancements in engineering and science, the application of smart systems is increasing, generating a faster growth of the IoT network traffic. The limitations due to IoT restricted power and computing ... -
Low Cost Automated Security Audit System
Fernández-Arruti Gallego, Pedro; Estévez Pereira, Julio Jairo; Nóvoa, Francisco; Dafonte, Carlos; Fernández, Diego (MDPI, 2021)[Abstract] In recent years, a quick transition towards digitization has been observed in most organizations. Along with it, certain inherent problems have appeared, such as the increase in cyber threats. Large organizations ... -
Metodología para el análisis y desarrollo de un sistema de información basado en imágen : un caso práctico de implementación en un servicio de hemodinámica
Nóvoa, Francisco (2007)[Resumen] Las patologías asociadas al corazón constituyen uno de los mayores problemas de salud en el mundo occidental, De entre ellas, la oclusión coronaria es una de las enfermedades de mayor relevancia, debido a su ... -
Mouse Behavior Analysis Based on Artificial Intelligence as a Second-Phase Authentication System
Garabato, D.; Rodríguez García, Jorge; Nóvoa, Francisco; Dafonte, Carlos (MDPI AG, 2019-08-01)[Abstract] Nowadays, a wide variety of computer systems use authentication protocols based on several factors in order to enhance security. In this work, the viability of a second-phase authentication scheme based on users’ ... -
Network Anomaly Detection Using Machine Learning Techniques
Estévez Pereira, Julio Jairo; Fernández, Diego; Nóvoa, Francisco (MDPI AG, 2020-08-19)[Abstract] While traditional network security methods have been proven useful until now, the flexibility of machine learning techniques makes them a solid candidate in the current scene of our networks. In this paper, we ... -
Network Data Flow Clustering based on Unsupervised Learning
López-Vizcaíno, Manuel F.; Dafonte, C.; Nóvoa, Francisco; Garabato, D.; Álvarez, M. A.; Fernández, Diego (Institute of Electrical and Electronics Engineers Inc., 2019)[Abstract]: Network communication data analysis is crucial in order to provide an adequate security level in computer infrastructures. As the volume of data and the number of features rise, the difficulties associated with ... -
QKDNetSim+: Improvement of the quantum network simulator for NS-3
Soler, David; Cillero Seijas, Iván; Dafonte, Carlos; Fernández Veiga, Manuel; Fernández Vilas, Ana; Nóvoa, Francisco (Elsevier, 2024)[Abstract]: 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 realistic QKD network simulators. ... -
Redesign and performance of an automatic segmentation method
Carballal, Adrián; Fernández-Lozano, Carlos; Nóvoa, Francisco; Rodríguez-Fernández, Nereida; Santos, Iria; García-Guimaraes, Marcos; Aldama López, Guillermo; Calviño-Santos, Ramón; Vázquez Rodríguez, José Manuel; Pazos, A. (MDPI, 2018-09-05)[Resumen] La información más relevante de las angiografías coronarias se extrae empleando técnicas de segmentación, que pueden ser automáticas, semiautomáticas o manuales. Existen numerosos algoritmos de segmentación ... -
Sistemas conexionistas en el procesado de señales biomédicas
Santos-del-Riego, Antonino; Linares, Manuel A.; Rivas, Rodrigo; Nóvoa, Francisco; Rodríguez, Ana Belén; Barreiro, José M. (Universidade da Coruña, 2001) -
Site agnostic approach to early detection of cyberbullying on social media networks
López-Vizcaíno, Manuel F.; Nóvoa, Francisco; Artieres, Thierry; Cacheda, Fidel (MDPI, 2023-05)[Abstract]: The rise in the use of social media networks has increased the prevalence of cyberbullying, and time is paramount to reduce the negative effects that derive from those behaviours on any social media platform. ... -
Time-Aware Detection Systems
López-Vizcaíno, Manuel F.; Vigoya, Laura; Cacheda, Fidel; Nóvoa, Francisco (MDPI AG, 2019-08-05)[Abstract] Communication network data has been growing in the last decades and with the generalisation of the Internet of Things (IoT) its growth has increased. The number of attacks to this kind of infrastructures have ...
