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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Bibliographic Details

Published in:	2017 15th Annual Conference on Privacy, Security and Trust (PST) pp. 233 - 23309
Main Authors:	Lashkari, Arash Habibi, A.Kadir, Andi Fitriah, Gonzalez, Hugo, Mbah, Kenneth Fon, A. Ghorbani, Ali
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.08.2017
Subjects:	Adware detection Android Malware Androids Feature extraction Humanoid robots Machine Learning Malware Malware Detection Malware Family Monitoring Servers Smart phones
Online Access:	Get full text
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