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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 ...