Email Campaign Explorer for Detecting Malicious Email Campaigns

This paper demonstrates a work in progress for using visual analytic approach to detect email campaigns. We have developed a system that uses Natural Language Processing (NLP) to clusters emails with similar topic, network metrics to detect the important players, and statistical aggregation to find pattern and anomaly. Finally, we display these finding to the analysts in our exploratory visual analytics web-application.