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Reseach Article

Identification of Factors Affecting Spamming – A Survey based Approach

by Laxmi Ahuja, Ela Kumar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 43 - Number 1
Year of Publication: 2012
Authors: Laxmi Ahuja, Ela Kumar
10.5120/6071-8258

Laxmi Ahuja, Ela Kumar . Identification of Factors Affecting Spamming – A Survey based Approach. International Journal of Computer Applications. 43, 1 ( April 2012), 34-36. DOI=10.5120/6071-8258

@article{ 10.5120/6071-8258,
author = { Laxmi Ahuja, Ela Kumar },
title = { Identification of Factors Affecting Spamming – A Survey based Approach },
journal = { International Journal of Computer Applications },
issue_date = { April 2012 },
volume = { 43 },
number = { 1 },
month = { April },
year = { 2012 },
issn = { 0975-8887 },
pages = { 34-36 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume43/number1/6071-8258/ },
doi = { 10.5120/6071-8258 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:32:17.667704+05:30
%A Laxmi Ahuja
%A Ela Kumar
%T Identification of Factors Affecting Spamming – A Survey based Approach
%J International Journal of Computer Applications
%@ 0975-8887
%V 43
%N 1
%P 34-36
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The process of reducing spam has become much more difficult than before and this is because more than 85% of all email receive today constitutes as spam the large quantity of unsolicited email has also become a huge problem for IT relations in several universities. As spammers become more advanced, many more innocent students are becoming free in their web of fraud. Most IT-related spam messages revolve around the Phishing technique, where bank accounts and credit card information is targeted. On the other hand, spammers that target universities are more intent on gaining access to the universities' networks, a strategy that will enable them to spam more staff members and students. Present paper performs a survey on various web users to identify the factors affecting spam. Analysis shows that high keyword density content, excessive anchor text at the bottom of the web page, excessive reciprocal linking and keyword stuffing are the major factors that affect spam.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Anti-spamming Web Search Engine