Alberto Huertas Celdran-rekin lankidetzan egindako argitalpenak (136)

2024

  1. A Review of Eight Reasons Why Cybersecurity on Novel Generations of Brain-Computer Interfaces Must Be Prioritized

    IX Jornadas Nacionales de Investigación En Ciberseguridad

  2. A Summary of Adversarial Attacks and Defenses on ML- and Hardware-based IoT Device Fingerprinting and Identification

    IX Jornadas Nacionales de Investigación En Ciberseguridad

  3. A Summary of RansomAI: AI-powered Ransomware for Stealthy Encryption

    IX Jornadas Nacionales de Investigación En Ciberseguridad

  4. Adversarial attacks and defenses on ML- and hardware-based IoT device fingerprinting and identification

    Future Generation Computer Systems, Vol. 152, pp. 30-42

  5. Analyzing the robustness of decentralized horizontal and vertical federated learning architectures in a non-IID scenario

    Applied Intelligence, Vol. 54, Núm. 8, pp. 6637-6653

  6. Análisis del impacto de ciberataques neuronales aplicados a la visión

    IX Jornadas Nacionales de Investigación En Ciberseguridad

  7. Corrigendum to “Fedstellar: A platform for decentralized federated learning” [Expert Syst. Appl. 242 (2024) 122861] (S0957417423033638), (10.1016/j.eswa.2023.122861)

    Expert Systems with Applications

  8. CyberSpec: Behavioral Fingerprinting for Intelligent Attacks Detection on Crowdsensing Spectrum Sensors

    IEEE Transactions on Dependable and Secure Computing, Vol. 21, Núm. 1, pp. 284-297

  9. DART: A Solution for decentralized federated learning model robustness analysis

    Array, Vol. 23

  10. Data fusion in neuromarketing: Multimodal analysis of biosignals, lifecycle stages, current advances, datasets, trends, and challenges

    Information Fusion, Vol. 105

  11. Evaluating the impact of contextual information on the performance of intelligent continuous authentication systems

    ACM International Conference Proceeding Series

  12. FederatedTrust: A solution for trustworthy federated learning

    Future Generation Computer Systems, Vol. 152, pp. 83-98

  13. Fedstellar: A Platform for Decentralized Federated Learning

    Expert Systems with Applications, Vol. 242

  14. Impact of neural cyberattacks on a realistic neuronal topology from the primary visual cortex of mice

    Wireless Networks

  15. Mitigación de Ataques Bizantinos usando Modelos Históricos en Aprendizaje Federado Descentralizado

    IX Jornadas Nacionales de Investigación En Ciberseguridad

  16. Mitigating communications threats in decentralized federated learning through moving target defense

    Wireless Networks

  17. NeuronLab: BCI framework for the study of biosignals

    Neurocomputing, Vol. 598

  18. Privacy-preserving hierarchical federated learning with biosignals to detect drowsiness while driving

    Neural Computing and Applications, Vol. 36, Núm. 32, pp. 20425-20437

  19. RL and Fingerprinting to Select Moving Target Defense Mechanisms for Zero-Day Attacks in IoT

    IEEE Transactions on Information Forensics and Security, Vol. 19, pp. 5520-5529

  20. Robust Federated Learning for execution time-based device model identification under label-flipping attack

    Cluster Computing, Vol. 27, Núm. 1, pp. 313-324