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Reseach Article

Filtering Image Spam: A Survey

by Shina, Preeti Anand
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 79 - Number 5
Year of Publication: 2013
Authors: Shina, Preeti Anand
10.5120/13738-1543

Shina, Preeti Anand . Filtering Image Spam: A Survey. International Journal of Computer Applications. 79, 5 ( October 2013), 23-26. DOI=10.5120/13738-1543

@article{ 10.5120/13738-1543,
author = { Shina, Preeti Anand },
title = { Filtering Image Spam: A Survey },
journal = { International Journal of Computer Applications },
issue_date = { October 2013 },
volume = { 79 },
number = { 5 },
month = { October },
year = { 2013 },
issn = { 0975-8887 },
pages = { 23-26 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume79/number5/13738-1543/ },
doi = { 10.5120/13738-1543 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:52:14.603593+05:30
%A Shina
%A Preeti Anand
%T Filtering Image Spam: A Survey
%J International Journal of Computer Applications
%@ 0975-8887
%V 79
%N 5
%P 23-26
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Electronic mail being one of the most prevalent methods for exchange of digital messages has been facing the biggest threat that is spam. Since the text spam can be easily detected so a new variant of spamming came into being. The new variant of spam is the image spam that is the trending method of spamming. This paper investigates the several classifiers used in the image spam classification like the Decision Tree and the Support Vector Machine (SVM) and a combination of the both.

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Index Terms

Computer Science
Information Sciences

Keywords

Image Spam Decision Tree SVM