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Temporal analysis of distribution shifts in malware classification for digital forensics
(IEEE, 2023)
Contribución a congreso / Biltzarrerako ekarpena,
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 ...
Generative adversarial networks for bitcoin data augmentation
(IEEE, 2020)
info:eu-repo/semantics/conferenceObject,
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 ...
Bitcoin and cybersecurity: temporal dissection of blockchain data to unveil changes in entity behavioral patterns
(MDPI, 2019)
info:eu-repo/semantics/article,
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 ...