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Published in:

Volume 7 Issue 6
June-2020
eISSN: 2349-5162

Unique Identifier

JETIR2006077

Page Number

528-538

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Title

Classification of SMS in Mobile System Using Multi Class Classifier and Randomizable Filtered Classifier

ISSN

2349-5162

Cite This Article

"Classification of SMS in Mobile System Using Multi Class Classifier and Randomizable Filtered Classifier", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 6, page no.528-538, June-2020, Available :http://www.jetir.org/papers/JETIR2006077.pdf

Abstract

The intense boom of smart cell telephones and customers has contributed to the enlargement of online or offline Instant Messaging and SMS usage as an alternate way of Transaction and communication. Along with the faith they instinctively have of their devices makes this sort of message a congenial environment for a spammer. In fact, reports distinctly suggest that the extent of junk mail over Instant Messaging and SMS are rapidly increasing 12 months through yr. This represents a challenging problem for classical filtering methods these days. Smishing this term represents a phishing in SMS/Messages referred to as SMS-phishing is a cyber-protection attack, which utilizes Short Message Service (SMS) to scouse borrow personal statistics/credentials of cellular customers. The religious degree of cell users on their smartphones has attracted attackers to carry out various cellular protection assaults like SMS-Phishing. In this paper, we implement the SMS-Case-based statistics mining classification approach to classify them subpart of SMS category by detecting of legitimate, Illegitimate/Smishing messages and these classified messages will similarly categorize in 3 parts Primary, Other, Fake. In this research paper, Multi-Class Classifier and Randomizable Filtered Classifier algorithms are used to classify the SMS, and furthermore, we will analyze the multiple algorithms using the experimenter in Weka. During the lockdown period because of Pandemic suffering from COVID19 SMS- Phishing will become more energetic and the attackers send fraud messages to the mobile users intensively.

Key Words

SMS, Message Analysis, Smishing, Illegitimate, SMS Classification, Data Mining, Cases, Phishing, Short Messages,

Cite This Article

"Classification of SMS in Mobile System Using Multi Class Classifier and Randomizable Filtered Classifier", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 6, page no. pp528-538, June-2020, Available at : http://www.jetir.org/papers/JETIR2006077.pdf

Publication Details

Published Paper ID: JETIR2006077
Registration ID: 233940
Published In: Volume 7 | Issue 6 | Year June-2020
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.23739
Page No: 528-538
ISSN Number: 2349-5162

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Cite This Article

"Classification of SMS in Mobile System Using Multi Class Classifier and Randomizable Filtered Classifier", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 6, page no. pp528-538, June-2020, Available at : http://www.jetir.org/papers/JETIR2006077.pdf




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