This paper addresses the problem of detecting money laundering in the Bitcoin network. Money laundering is the process of handling the proceeds of crime to conceal their illegal source, these illicit ...

Existing graph-based methods for anti-money laundering (AML) in blockchain systems primarily focus on structural connectivity or simple temporal encodings, yet they overlook a critical dimension: the ...

In today’s era of data explosion, it’s more important for organizations to make the most of analyzing their colossal amounts of data in real time for anti-money-laundering efforts. Processing Content ...

Evidence is mounting that graphs are an excellent use case for cybersecurity in financial services. Why? Because the activity and sensor data collected across cyber systems naturally expose a set of ...

Open-source graph database startup ArangoDB GmbH today said it has landed $27.8 million in a new funding round led by Iris Capital. Existing investors Bow Capital and Target Partners also participated ...