Intelligent spam classification for mobile text message

Mathew, Kuruvilla and Issac, Biju (2012) Intelligent spam classification for mobile text message. In: Proceedings of 2011 International Conference on Computer Science and Network Technology. IEEE, pp. 101-105. ISBN 978-1-4577-1586-0

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Abstract

This paper analyses the methods of intelligent spam filtering techniques in the SMS (Short Message Service) text paradigm, in the context of mobile text message spam. The unique characteristics of the SMS contents are indicative of the fact that all approaches may not be equally effective or efficient. This paper compares some of the popular spam filtering techniques on a publically available SMS spam corpus, to identify the methods that work best in the SMS text context. This can give hints on optimized spam detection for mobile text messages.

Item Type:	Book Section
Uncontrolled Keywords:	SMS spam, Intelligent classification, Bayes Classifier, Mobile Spam
Subjects:	G900 Others in Mathematical and Computing Sciences
Department:	Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User:	Becky Skoyles
Date Deposited:	19 Dec 2018 12:11
Last Modified:	11 Oct 2019 15:01
URI:	http://nrl.northumbria.ac.uk/id/eprint/37353

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