Cryptocurrency Scams: Analysis and Perspectives

Since the inception of Bitcoin in 2009, market cryptocurrencies has grown beyond initial expectations, as witnessed by thousands tokenised assets available on market, whose daily trades amount to dozens USD billions. The pseudonymity features these have attracted attention cybercriminals, who exploit them carry out potentially untraceable scams. wide range cryptocurrency-based scams observed over last ten years fostered research analysis their effects, and development techniques counter them. However, doing this field requires addressing several challenges: for instance, although a few data sources about cryptocurrency are publicly available, they often contain incomplete or misclassified data. Further, there is no standard taxonomy scams, which leads ambiguous incoherent interpretations nature. Indeed, unavailability reliable datasets makes it difficult train effective automatic classifiers that can detect analyse In paper, we perform an extensive review scientific literature systematise according novel taxonomy. By collecting homogenising from different public sources, build uniform dataset scams.We devise tool recognises classifies our taxonomy.We assess effectiveness through performance metrics.We also give in-depth classification results, offering insights into threat types, connection with other types. Finally, provide set guidelines policymakers could follow improve user protection against