Towards a Network-Based Framework for Android Malware Detection and Characterization

Mobile malware is so pernicious and on the rise, accordingly having a fast and reliable detection system is necessary for the users. In this research, a new detection and characterization system for detecting meaningful deviations in the network behavior of a smart-phone application is proposed. The...

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Vydané v:	2017 15th Annual Conference on Privacy, Security and Trust (PST) s. 233 - 23309
Hlavní autori:	Lashkari, Arash Habibi, A.Kadir, Andi Fitriah, Gonzalez, Hugo, Mbah, Kenneth Fon, A. Ghorbani, Ali
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.08.2017
Predmet:	Adware detection Android Malware Androids Feature extraction Humanoid robots Machine Learning Malware Malware Detection Malware Family Monitoring Servers Smart phones
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