Proactive Money Laundering Prevention with Transactional Network Monitoring

Proactive Money Laundering Prevention with Transactional Network Monitoring

Authors- L. Krishnamarishkumar, Assistant Professor Dr. H. Jayamangala

Abstract--In an era of increasing financial crime, proactive detection of money laundering activities has become critical to maintaining the integrity of the global financial system. This work presents a novel approach that leverages transitional network monitoring to identify suspicious patterns and behaviors before significant damage occurs. By constructing dynamic transaction graphs and applying advanced analytic—such as machine learning algorithms and anomaly detection techniques—the system continuously evaluates relationships and transaction flows. Key financial indicators and network metrics are monitored in real time, enabling the early identification of potentially illicit activities.

DOI: /10.61463/ijset.vol.13.issue2.450