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Spammer Detection by Extracting Message Parameters from Spam Emails
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 78 - Number 10 |
| Year of Publication: 2013 |
| Authors: Acquin Dmello, Gaurang Mhatre, Rohan Lopes, Haince Pen |
10.5120/13526-1232
|
Acquin Dmello, Gaurang Mhatre, Rohan Lopes, Haince Pen . Spammer Detection by Extracting Message Parameters from Spam Emails. International Journal of Computer Applications. 78, 10 ( September 2013), 21-25. DOI=10.5120/13526-1232
Abstract
Traditional and present methods to detect spam emails have been working quite well but they take no measures to detect and occlude the malicious actions of the spammers. In this paper a combination of certain parameters of an email is considered to cluster legit emails and spam emails. Initially, this approach tries to cluster spam emails. Based on their sources, the spam emails are clustered using their Message subjects, Attachments, Number of Hyperlinks, Message length, Stylistic and Semantic parameters. Since emails from same source have certain similarities, they are clustered together. These clusters are then mapped to their respective domains and their IP address is retrieved which is then reported to Anti-Spam Agencies.
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