DOIONLINE 
DOIONLINE Publish In |
International Journal of Electrical, Electronics and Data Communication (IJEEDC)-IJEEDC |
 Journal Home Volume Issue |
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Issue |
Volume-9,Issue-9 ( Sep, 2021 ) | |||||||||
Paper Title |
Malware Detection by using VGG NET Classification | |||||||||
Author Name |
Prachi Gadhire, Farhat Jummani | |||||||||
Affilition |
Research Scholar, Computer Department, JJT University, Rajasthan, India Assistant Professor, Computer Department, JJT University, Rajasthan, India | |||||||||
Pages |
7-9 | |||||||||
Abstract |
In parallel to the development in mobile apps, mobile dangers are also on the side of increase This is due to the fact that it is based on open source software and has outstanding performance. Nevertheless, the simplicity of the Android platform has also been a driving force behind malware creation. Unknown apps cannot be detected using the usual signaturebased technique. Mobile devices should be protected against malware attacks by implementing security mechanisms. Keywords - Smartphone, VGN Classification | |||||||||
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