To recognize and analyze spam domains from spam emails by data mining
Kavita Patel, Sanjay Kumar Dubey · International Conference on Computing for Sustainable Global Development · 2016
Spam emails are unwanted messages sent over the internet with intend to harm users. Spam analyzers, Internet user and anti-spam community need a technique for identifying whether the email messages are safe or potentially hostile. To send malicious mails spam domains are used by spammer (i.e. criminal). Spam domains are those domains which are used to advertise false services and products, such as luxury goods, pirated software's and fake offers. In last some years the analysis on spam domains has enhanced. To recognize the usage, consequences and benefit of spam domains, a systematic literature review has been conducted. The review included various publications from 2006 to 2015 as a standard study. Based on search techniques considered, 83 research papers were recognized out of which 19 were identified as relevant papers. This paper reflects the various researches advanced related to spam domain using data mining approach. It will also help the researchers to figure out the present and future context of research in identifying spam domain using data mining techniques.