DroidDolphin: a dynamic Android malware detection framework using big data and machine learning.
Journal
Proceedings of the 2014 Conference on Research in Adaptive and Convergent Systems, RACS 2014, Towson, Maryland, USA, October 5-8, 2014
Pages
247-252
Date Issued
2014
Author(s)
Wu, Wen-Chieh
Abstract
Smartphones are getting more and more popular nowadays with various kinds of applications to make our lives more convenient. Unfortunately, malicious applications, also known as malware, arises as well. A user is often tempted into install a malware without any awareness, and the malware steals the users' personal information. Some malware would send SMS or make phone calls, which result in additional charges. Thus, detection of malware is critical to protect smartphone users.
Type
conference paper