![](http://cmu.edu/vis/images/programs/Visual-research-1.png) |
The objective of this project is to develop a visual analytics method to discover dynamic patterns in Malware Distribution Networks (MDN) based on the data extracted from Google Safe Browsing reports, providing insight on their structure, evolution, and persistence over time. The visualization will help to define the visual ontology, a set of visual-semantic representations of the distribution behaviors for tracking, measuring, searching, comparing, and learning. The outcomes from this project include the MDN visual analysis tool, real-time demos online, MDN workshops at either Google site or CMU, and joint publications with Google researchers. |