Spam Mail Blocking using Porter Stemmer and K Means Clustering Algorithms

Email is a method of exchanging digital messages between people using digital devices and the problem of receiving spam messages is faced by most email users. Recipients of spam often have had their email addresses obtained by spambots which are automated programs that crawl the internet looking for email addresses. Origin blacklisting is used to detect and filter these kinds of emails. The sources of emails are provided by origin detection. In this existing approach, the spam blocking system finds the source and if any source matches with the user identity, the spammer is blocked to send email. However, the system cannot check the contents of spam. The proposed system verifies the mail contents and if the spam content matches with the spam database cluster, then it blocked while sending to receiver. The porter stemmer and k-means clustering algorithms are used in this proposed system to block the spam and prevent the flow of data in the network.