Graph analysis is a powerful tool for modeling malicious group behavior and detecting anomalies in domains ranging from traffic analysis to fraud detection. This talk will cover techniques and open-source tools for graph analytics, including an end-to-end analysis of a novel application of graph analytics to malware detection: from real data collection to the visualization of results.
Learning Objectives: 1: Receive an introduction to graph analytics. 2: Understand the complete work-flow of a realistic application of graph analytics. 3: Understand limitations and pitfalls of applying graph analytics to a real problem.