AndroDFA: Android Malware Classification Based on Resource Consumption

The vast majority of today’s mobile malware targets Android devices. An important task of malware analysis is the classification of malicious samples into known families. In this paper, we propose <i>AndroDFA</i> (DFA, detrended fluctuation analysis): an approach to Android malware family classifica...

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主要な著者:	Luca Massarelli, Leonardo Aniello, Claudio Ciccotelli, Leonardo Querzoni, Daniele Ucci, Roberto Baldoni
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2020-06-01
シリーズ:	Information
主題:	malware machine learning Android
オンライン･アクセス:	https://www.mdpi.com/2078-2489/11/6/326
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