Method and system for cryptocurrency fraud detection

A system for fraud scoring a cryptographic currency transaction using multiple data sets and graphical modeling, comprising:

• a first computing system;
• a second computing system;
• a third computing system;
• a computing device;
• a blockchain network;
• and
• a processing server, the processing server including
• a receiver receiving transaction data for a plurality of fiat currency based payment transactions from the first computing system, transaction data for a plurality of cryptographic currency based blockchain transactions from the second computing system, and node connectivity data for the blockchain network from the third computing system,
• a processor generating a fraud detection model based on at least the received node connectivity data, wherein generating the fraud detection model includes generating a graphical representation of the received node connectivity data, and
• a transmitter, wherein
• the receiver of the processing server further receives transaction data for a new blockchain transaction from the computing device,
• the processor of the processing server generates a fraud score for the new blockchain transaction using a combination of at least the generated fraud detection model, the transaction data for the plurality of fiat currency based payment transactions, and the transaction data for the plurality of cryptographic currency based blockchain transactions, and
• the transmitter of the processing server transmits the generated fraud score to the computing device.