Enhanced Android Malware Detection: An SVM-Based Machine Learning Approach

The cybersecurity of increasing numbers of mobile devices and their users are threatened by malicious applications. Detecting malicious Android applications is a challenge due to the massive number of Android applications and their various properties which provide a large set of features and a spars...

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Vydané v:	International Conference on Big Data and Smart Computing s. 75 - 81
Hlavní autori:	Han, Hyoil, Lim, SeungJin, Suh, Kyoungwon, Park, Seonghyun, Cho, Seong-je, Park, Minkyu
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.02.2020
Predmet:	Android Malware Detection Androids API Calls Feature extraction Humanoid robots Machine learning Malware Static analysis Support vector machines
ISSN:	2375-9356
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