Master Thesis

This project has two primary goals: First, to help analysts by means of a web interface, in evaluating the weblogs to better find and process the information. Second, to create a machine learning method that can identify domains which share some similarity in their WHOIS Information. Our algorithm can work as a WHOIS classification of similar domains also called WHOIS similarity distance. The conclusions of our research are: First, ManaTI can increase the speed of the security analysts by a factor of 3.4. Second, the WHOIS information of related domains has quantifiable similarities that make possible an accurate comparison. Third, there are WHOIS fields which are more important for relating domains than others. Finally, the accuracy of finding related domains using a linear model classifier based on the WHOIS Similarity Distance algorithm is around 98%.