Detecting Complex Money Laundering Patterns with Incremental and Distributed Graph Modeling

ArXi:2604.01315v1 Announce Type: new Money launderers take advantage of limitations in existing detection approaches by hiding their financial footprints in a deceitful manner. They manage this by replicating transaction patterns that the monitoring systems cannot easily distinguish. As a result, criminally gained assets are pushed into legitimate financial channels without drawing attention. Algorithms developed to monitor money flows often struggle with scale and complexity.