Android malware detection: An eigenspace analysis approach

The battle to mitigate Android malware has become more critical with the emergence of new strains incorporating increasingly sophisticated evasion techniques, in turn necessitating more advanced detection capabilities. Hence, in this paper we propose and evaluate a machine learning based approach ba...

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Vydané v:	2015 Science and Information Conference (SAI) s. 1236 - 1242
Hlavní autori:	Yerima, Suleiman Y., Sezer, Sakir, Muttik, Igor
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.07.2015
Predmet:	Accuracy Android Androids eigenspace eigenvectors Feature extraction Humanoid robots Machine learning algorithms Malware malware detection mobile security statistical machine learning Training
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