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http://dx.doi.org/10.9728/dcs.2015.16.5.815

Implementation of A Mobile Application for Spam SMS Filtering Using Set-Based POI Search Algorithm  

Ahn, Hye-yeong (Sookmyung Women's University Multimedia Science)
Cho, Wan-zee (Sookmyung Women's University Multimedia Science)
Lee, Jong-woo (Sookmyung Women's University Multimedia Science)
Publication Information
Journal of Digital Contents Society / v.16, no.5, 2015 , pp. 815-822 More about this Journal
Abstract
By the growing of SMS phishing victims, applications for processing spam messages are being released in succession. However most spam messages that cleverly modified the content like separating the consonants and vowels are fail to be filtered. In this paper, we implemented an application 'AntiSpam' which is able to identify spam strings in the text message to solve this problem. 'AntiSpam' searches spam strings in the text message by using set-based POI search algorithm, and then calculate the possibility of whether it is spam or not in accordance with the search results. In addition, it catches skillfully disguised spam messages in order to avoid missing the spam filtering. Users, who received a message, can check the result in spam message possibility decision result and the contents of the message and they can choose how to handling the message.
Keywords
Spam; Filtering; Text Message; Android;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
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6 Android Developers, http://developer.android.com/ndk
7 Cygwin, http://cygwin.com/index.html