Innovative Filtering Techniques and Customized Analytics Tools

The VAST 2009 Challenge consisted of three heterogeneous synthetic
data sets organized into separate mini-challenges with minimal
correspondence information. The challenge task was the identification
of a suspected data theft from cyber and real-world traces.
The grand challenge required integrating the findings from the
mini challenges into a plausible, consistent scenario. A mixture
of linked, customized tools based on queryable models and rapid
prototyping as well as generic analysis tools (developed in-house)
helped us correctly solve all of the mini challenges. A collaborative
analytic process was employed to reconstruct the scenario and to
propose the correct steps for the reliable identification of the criminal
organization based on activity traces of its members.