University of Luton
Phishing is an important security issue to the Internet, which has a significant economic impact. The main solution to counteract this threat is currently reactive blacklisting; however, as phishing attacks are mainly performed over short periods of time, reactive methods are too slow. As a result, new approaches to early identify malicious websites are needed. In this paper a new proactive discovery of phishing related domain names is introduced. The authors mainly focus on the automated detection of possible domain registrations for malicious activities. They leverage techniques coming from natural language modeling in order to build proactive blacklists.