DL-Droid: Deep learning based android malware detection using real devices

The Android operating system has been the most popular for smartphones and tablets since 2012. This popularity has led to a rapid raise of Android malware in recent years. The sophistication of Android malware obfuscation and detection avoidance methods have significantly improved, making many tradi...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	Computers & security Ročník 89; s. 101663
Hlavní autori:	Alzaylaee, Mohammed K., Yerima, Suleiman Y., Sezer, Sakir
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Amsterdam Elsevier Ltd 01.02.2020 Elsevier Sequoia S.A
Predmet:	Android Code coverage Deep learning Dynamic analysis Experiments Machine learning Malware Malware detection Mobile operating systems Mobile security Popularity Smartphones Sophistication Static analysis Tablet computers Deep learning Dynamic analysis Machine learning Static analysis Mobile security Code coverage Malware detection Android
ISSN:	0167-4048, 1872-6208
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!