International Journal of Electrical, Electronics and Data Communication (IJEEDC)
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Statistics report
Nov. 2024
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 139
Paper Published : 1754
No. of Authors : 4875
  Journal Paper


Paper Title :
Malware Detection by using VGG NET Classification

Author :Prachi Gadhire, Farhat Jummani

Article Citation :Prachi Gadhire ,Farhat Jummani , (2021 ) " Malware Detection by using VGG NET Classification " , International Journal of Electrical, Electronics and Data Communication (IJEEDC) , pp. 7-9, Volume-9,Issue-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

Type : Research paper

Published : Volume-9,Issue-9


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