• Bitcoin and cybersecurity: temporal dissection of blockchain data to unveil changes in entity behavioral patterns 

      Zola, Francesco; Bruse, Jan Lukas; Eguimendia, María; Galar Idoate, Mikel Upna Orcid; Orduna Urrutia, Raúl Upna Orcid (MDPI, 2019)   Artículo / Artikulua  OpenAccess
      The Bitcoin network not only is vulnerable to cyber-attacks but currently represents the most frequently used cryptocurrency for concealing illicit activities. Typically, Bitcoin activity is monitored by decreasing anonymity ...
    • Generative adversarial networks for bitcoin data augmentation 

      Zola, Francesco; Bruse, Jan Lukas; Etxeberria Barrio, Xabier; Galar Idoate, Mikel Upna Orcid; Orduna Urrutia, Raúl Upna Orcid (IEEE, 2020)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      In Bitcoin entity classification, results are strongly conditioned by the ground-truth dataset, especially when applying supervised machine learning approaches. However, these ground-truth datasets are frequently affected ...
    • Temporal analysis of distribution shifts in malware classification for digital forensics 

      Zola, Francesco; Bruse, Jan Lukas; Galar Idoate, Mikel Upna Orcid (IEEE, 2023)   Contribución a congreso / Biltzarrerako ekarpena  OpenAccess
      In recent years, malware diversity and complexity have increased substantially, so the detection and classification of malware families have become one of the key objectives of information security. Machine learning ...

      El Repositorio ha recibido la ayuda de la Fundación Española para la Ciencia y la Tecnología para la realización de actividades en el ámbito del fomento de la investigación científica de excelencia, en la Línea 2. Repositorios institucionales (convocatoria 2020-2021).
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