Origin (dynamic blacklisting) based spammer detection and spam mail filtering approach
Nikhil Agrawal, Shailendra Narayan Singh · 2016
Emails are the basic unit of internet applications. Many emails are sent & received everyday with an exponential growth day by day but spam mail has become a very serious problem in email communication environment. There are number of content-based filter techniques available namely text based, image based filtering and many more others to filter spam mails. These techniques are costlier in respect of computation and network resources as they require the examination of whole message and computation on whole content at the server. These filters are also not in dynamic nature because the nature of spam mail and spammer changes frequently. We proposed origin based spam-filtering approach, which works with respect to header information of the mail regardless of the body content of the mail. It optimizes the network and server performance.