Effective and adaptive technological solution to block spam E-mails
Ajay U. Surwade, Manoj P. Patil, Satish Ramesh Kolhe · 2016
The internet E-mail infrastructure has become famous and widely used means of communication for personal, business and academic purposes just because it is fast, cheap and very efficient. People are using this E-mail infrastructure for their day-to-day work. The users are receiving many unwanted E-mails from the unknown senders. These unwanted E-mails are called as spam E-mails. In this paper technological solution for blocking spam E-mail is discussed. This technological solution consists of combination of origin based filters (OBF) and content based filters (CBF) which is adaptive in nature. The CBF Filter contains two components machine learning based classifier (MLC) and semantic similarity with edge based classifier (SSC). This technological solution is tested on the standard dataset such as Enron, LingSpam along with personal E-mail messages (PEM). The results empirically prove the strength of this solution.