A Clustering Techniques to Detect E-mail Spammer and Their Domains

The latest internet has become a collaboration and communications platform, in that e-mail system is one of the most reliable internet services. Sending a spam e-mail is an economically useful commerce for intruders, with the very good earning of millions of dollars. The spam e-mail has become a critical issue to web and society, to stop/reduce the spam e-mails filtering techniques is not sufficient. This paper proposes to recognize spam domain by reading spam e-mails. These spam domains are nothing but Uniform Resource Locator (URL) of the website that intruder is promoting. The approach is based on extracting mail content; links from URL injected e-mail and subject of spam e-mails. These extracted parameters are grouped together through clustering algorithms and evaluated. This proposed work can be help as additional accessory to already available anti-spam tool to recognize intruders.