Android App Categorization using Naïve Bayes Classifier
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10.5120/21683-4783 |
Jagtap A.h and Lomte A.c. Article: Android App Categorization using Naive Bayes Classifier. International Journal of Computer Applications 122(3):26-29, July 2015. Full text available. BibTeX
@article{key:article,
author = {Jagtap A.h and Lomte A.c},
title = {Article: Android App Categorization using Naive Bayes Classifier},
journal = {International Journal of Computer Applications},
year = {2015},
volume = {122},
number = {3},
pages = {26-29},
month = {July},
note = {Full text available}
}
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.
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