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Image Spam Filtering using Support Vector Machine and Particle Swarm Optimization

Published on April 2015 by T. Kumaresan, S.sanjushree, K.suhasini, C.palanisamy
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National Conference on Information Processing and Remote Computing
Foundation of Computer Science USA
NCIPRC2015 - Number 1
April 2015
Authors: T. Kumaresan, S.sanjushree, K.suhasini, C.palanisamy
b2df3036-a5d9-433e-8f36-1d1f71ea840a

T. Kumaresan, S.sanjushree, K.suhasini, C.palanisamy . Image Spam Filtering using Support Vector Machine and Particle Swarm Optimization. National Conference on Information Processing and Remote Computing. NCIPRC2015, 1 (April 2015), 17-21.

@article{
author = { T. Kumaresan, S.sanjushree, K.suhasini, C.palanisamy },
title = { Image Spam Filtering using Support Vector Machine and Particle Swarm Optimization },
journal = { National Conference on Information Processing and Remote Computing },
issue_date = { April 2015 },
volume = { NCIPRC2015 },
number = { 1 },
month = { April },
year = { 2015 },
issn = 0975-8887,
pages = { 17-21 },
numpages = 5,
url = { /proceedings/nciprc2015/number1/20508-8006/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Information Processing and Remote Computing
%A T. Kumaresan
%A S.sanjushree
%A K.suhasini
%A C.palanisamy
%T Image Spam Filtering using Support Vector Machine and Particle Swarm Optimization
%J National Conference on Information Processing and Remote Computing
%@ 0975-8887
%V NCIPRC2015
%N 1
%P 17-21
%D 2015
%I International Journal of Computer Applications
Abstract

Spam is most often considered to be electronic junk mail. Spam is defined as unsolicited bulk mail. Image spam is a kind of email spam where the spam text is embedded with an image. Spam email has become difficult in the survival of internet users, causing personal injury and economic losses. In this paper, we propose a feature extraction scheme which focuses on low-level features, like metadata and visual features of images. This technique makes classification better and it is an effective method because it does not depend on extracting text and examining the content of email. A SVM classifier with kernel function is used to identify an image spam and also the accuracy will be calculated.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Email Ham Image Spam Image Svm Classifier