SemiDroid: a behavioral malware detector based on unsupervised machine learning techniques using feature selection approaches
With the exponential growth in Android apps, Android based devices are becoming victims of target attackers in the “silent battle” of cybernetics. To protect Android based devices from malware has become more complex and crucial for academicians and researchers. The main vulnerability lies in the un...
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| Vydané v: | International journal of machine learning and cybernetics Ročník 12; číslo 5; s. 1369 - 1411 |
|---|---|
| Hlavní autori: | , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
Berlin/Heidelberg
Springer Berlin Heidelberg
01.05.2021
Springer Nature B.V |
| Predmet: | |
| ISSN: | 1868-8071, 1868-808X |
| On-line prístup: | Získať plný text |
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