Analysis of Bayesian classification-based approaches for Android malware detection
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سال
: 2014شناسه الکترونیک: 10.1049/iet-ifs.2013.0095
کلیدواژه(گان): invasive software,learning (artificial intelligence),operating system kernels,pattern classification,smart phones,Android malware detection,machine learning,mobile malware,signature based scanning,smartphones,static analysis,static analytic Bayesian classification
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آمار بازدید
Analysis of Bayesian classification-based approaches for Android malware detection
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contributor author | Yerima, Suleiman Y. | |
contributor author | Sezer, Sakir | |
contributor author | McWilliams, G. | |
date accessioned | 2020-03-12T18:36:43Z | |
date available | 2020-03-12T18:36:43Z | |
date issued | 2014 | |
identifier issn | 1751-8709 | |
identifier other | 6687155.pdf | |
identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/964309 | |
format | general | |
language | English | |
publisher | IET | |
title | Analysis of Bayesian classification-based approaches for Android malware detection | |
type | Journal Paper | |
contenttype | Metadata Only | |
identifier padid | 7997783 | |
subject keywords | invasive software | |
subject keywords | learning (artificial intelligence) | |
subject keywords | operating system kernels | |
subject keywords | pattern classification | |
subject keywords | smart phones | |
subject keywords | Android malware detection | |
subject keywords | machine learning | |
subject keywords | mobile malware | |
subject keywords | signature based scanning | |
subject keywords | smartphones | |
subject keywords | static analysis | |
subject keywords | static analytic Bayesian classification | |
identifier doi | 10.1049/iet-ifs.2013.0095 | |
journal title | Information Security, IET | |
journal volume | 8 | |
journal issue | 1 | |
filesize | 579005 | |
citations | 5 |