Slides: https://www.slideshare.net/DataStax/datastax-adversarial-modeling-graph-ml-and-analytics-for-identity-fraud-rob-murphy-cassandra-summit-2016 | Abstract from paper: Identity theft and the resulting creation of synthetic identities for the purpose of committing fraud, pose a growing challenge to governments and businesses across the globe. This paper describes specific research and conclusions into existing fraud detection data and supporting systems. It describes a novel, ecosystem and process based approach, Adversarial Modeling to combat what must be recognized as a complex, dynamic struggle against organized and efficient adversaries. Adversarial Modeling is a technology and process ecosystem based on distributed computing, graph theory, data mining and machine learning in a focused, purpose-designed Agile derived methodology. About the Speaker Rob Murphy