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Spam Email Detection using Structural Features

International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 89 - Number 3
Year of Publication: 2014
Sarju S
Riju Thomas
Emilin Shyni C

Sarju S, Riju Thomas and Emilin Shyni C. Article: Spam Email Detection using Structural Features. International Journal of Computer Applications 89(3):38-41, March 2014. Full text available. BibTeX

	author = {Sarju S and Riju Thomas and Emilin Shyni C},
	title = {Article: Spam Email Detection using Structural Features},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {89},
	number = {3},
	pages = {38-41},
	month = {March},
	note = {Full text available}


In recent years, we have witnessed a dramatic raise in the use of web and thus email becomes an inevitable mode of communication. This is the scenario where the attackers take advantage by the mode of spam mails to the email users and misguide them to some phished sites or the users unwittingly install some malwares to their machine. This shows the importance of research activities being carried out in the field of spam mail detection. In this paper we tend to project a replacement methodology to segregate spam emails from non-spam (legitimate) emails using the distinct structural features available in them. The experiments with 8000 emails show that that our methodology preserves an accuracy of the spam detection up to 99. 4% with at the most 0. 6 % false positives.


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