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Reseach Article

Android App Categorization using Naive Bayes Classifier

by Jagtap A.h, Lomte A.c
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 122 - Number 3
Year of Publication: 2015
Authors: Jagtap A.h, Lomte A.c
10.5120/21683-4783

Jagtap A.h, Lomte A.c . Android App Categorization using Naive Bayes Classifier. International Journal of Computer Applications. 122, 3 ( July 2015), 26-29. DOI=10.5120/21683-4783

@article{ 10.5120/21683-4783,
author = { Jagtap A.h, Lomte A.c },
title = { Android App Categorization using Naive Bayes Classifier },
journal = { International Journal of Computer Applications },
issue_date = { July 2015 },
volume = { 122 },
number = { 3 },
month = { July },
year = { 2015 },
issn = { 0975-8887 },
pages = { 26-29 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume122/number3/21683-4783/ },
doi = { 10.5120/21683-4783 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:09:38.673986+05:30
%A Jagtap A.h
%A Lomte A.c
%T Android App Categorization using Naive Bayes Classifier
%J International Journal of Computer Applications
%@ 0975-8887
%V 122
%N 3
%P 26-29
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This research based on the different integrity protection against various operating based smartphones or cellular phone. A mobile phones, smartphones are essential for daily life but the smartphones based on different operating systems like Symbian, Android mobile devices may be infected malwares because of different applications like Internet app, Bluetooth, MMS, SMS. The malware is a big issue of user mobile security and the downloaded contain through the internet. The security must be provided to smartphone because in advanced the malware after they've been infected they may lose the integrity of our mobile phone. This paper investigates the evaluation and detection of malware through the data mining based technique . The research paper based on Naïve Bayes method, classifier and analysis of the result value by analysis of system. The technique of smartphone content helps to analysis the trusted party. This is mandatory provide the efficiency related to security antivirus and malware detection.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Android Mobile security Data Mining