Illegal activities such as money laundering using cryptocurrencies represented by Bitcoin have emerged. In this study, a Gated Recurrent Unit (GRU) neural network is used to identify anomalous transaction patterns in the dataset. The dataset is created by taking raw data based on yearly parameters to extract a subset of data. This subset represents data from the years 2011 to 2013 and is extrac…