Evaluation of spam detection and prevention frameworks for email and image spam - a state of art
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© ACM, 2008. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Proceedings of the 10th international Conference on information integration and Web-Based Applications & Services, ISBN: 978-1-60558-349-5, iiWAS 2008. <a href="http://doi.acm.org/10.1145/1497308.1497402">http://doi.acm.org/10.1145/1497308.1497402</a>
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A link to the Publisher's version is available at: http://portal.acm.org/citation.cfm?doid=1497308.1497402
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In recent years, online spam has become a major problem for the sustainability of the Internet. Excessive amounts of spam are not only reducing the quality of information available on the Internet but also creating concern amongst search engines and web users. This paper aims to analyse existing works in two different categories of spam domains - email spam and image spam to gain a deeper understanding of this problem. Future research directions are also presented in these spam domains.
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