Analysis of Bayesian classification-based approaches for Android malware detection
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Year
: 2014DOI: 10.1049/iet-ifs.2013.0095
Keyword(s): 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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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 | https://libsearch.um.ac.ir:443/fum/handle/fum/964309?locale-attribute=en | |
| 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 |