7 citations · 13 across the 3 of their papers we have counts for
3 papers
ActDroid: An active learning framework for Android malware detection
Ali Muzaffar, Hani Ragab Hassen, Hind Zantout +1
The growing popularity of Android requires malware detection systems that can keep up with the pace of new software being released. According to a recent study, a new piece of malw…
DroidDissector: A Static and Dynamic Analysis Tool for Android Malware Detection
Ali Muzaffar, Hani Ragab Hassen, Hind Zantout +1
DroidDissector is an extraction tool for both static and dynamic features. The aim is to provide Android malware researchers and analysts with an integrated tool that can extract a…
Reassessing feature-based Android malware detection in a contemporary context
Ali Muzaffar, Hani Ragab Hassen, Hind Zantout +1
We report the findings of a reimplementation of 18 foundational studies in feature-based machine learning for Android malware detection, published during the period 2013-2023. Thes…