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2017 | OriginalPaper | Chapter

Property Analysis of SMS Spam Using Text Mining

Authors : Manki Baek, Youngkyung Lee, Yoojae Won

Published in: Advanced Multimedia and Ubiquitous Engineering

Publisher: Springer Singapore

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Abstract

A considerable amount of spam that occur each year can cause the financial damage as well as mental harm to the recipient. This is a serious problem in society. In this paper, we analyze properties of SMS spam in mobile phones to establish a method for effectively blocking SMS spam. As a result, SMS spam can be seen that the surge in the amount shipped during a specific time period. Also, we could find the frequently included word on spam and we could identify spammer that sent smishing messages frequently by comparing several spammers.

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previous chapter Encrypted Network Traffic Analysis Method via Secure Socket Layer Handshake Control
next chapter An Automatic Patch Management System with Improved Security
Literature
1.
2.
Park, I.W., Park, D.W.: A study on the analysis and security measures for smishing hacking attacks. J. Next Gen. Inf. Technol. 5(2), 85–91 (2014)
3.
4.
Sung, H.H.: Text Mining Techniques for Korean Web Documents Classification and Clustering, vol. 12, p. 10 (2015)
5.
Lee J.A.: Study on developing a patent citation prediction model using data mining techniques, vol. 12 (2011)
Metadata
Title
Property Analysis of SMS Spam Using Text Mining
Authors
Manki Baek
Youngkyung Lee
Yoojae Won
Copyright Year
2017
Publisher
Springer Singapore
Book
Advanced Multimedia and Ubiquitous Engineering

Print ISBN: 978-981-10-5040-4

Electronic ISBN: 978-981-10-5041-1

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-981-10-5041-1_12

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