Machine learning aided Android malware classification
N Milosevic, A Dehghantanha, KKR Choo - Computers & Electrical …, 2017 - Elsevier
The widespread adoption of Android devices and their capability to access significant
private and confidential information have resulted in these devices being targeted by …
private and confidential information have resulted in these devices being targeted by …
NATICUSdroid: A malware detection framework for Android using native and custom permissions
The rapid growth of Android apps and its worldwide popularity in the smartphone market has
made it an easy and accessible target for malware. In the past few years, the Android …
made it an easy and accessible target for malware. In the past few years, the Android …
LinRegDroid: Detection of Android malware using multiple linear regression models-based classifiers
In this study, a framework for Android malware detection based on permissions is presented.
This framework uses multiple linear regression methods. Application permissions, which are …
This framework uses multiple linear regression methods. Application permissions, which are …
Dynamic permissions based android malware detection using machine learning techniques
A Mahindru, P Singh - Proceedings of the 10th innovations in software …, 2017 - dl.acm.org
Android is by far the most widely used mobile phone operating system around. However,
Android based applications are highly vulnerable to various types of malware attacks …
Android based applications are highly vulnerable to various types of malware attacks …
[HTML][HTML] Android malware classification using optimum feature selection and ensemble machine learning
The majority of smartphones on the market run on the Android operating system. Security
has been a core concern with this platform since it allows users to install apps from unknown …
has been a core concern with this platform since it allows users to install apps from unknown …
A static analysis approach for Android permission-based malware detection systems
J Mohamad Arif, MF Ab Razak, S Awang, SR Tuan Mat… - PloS one, 2021 - journals.plos.org
The evolution of malware is causing mobile devices to crash with increasing frequency.
Therefore, adequate security evaluations that detect Android malware are crucial. Two …
Therefore, adequate security evaluations that detect Android malware are crucial. Two …
[HTML][HTML] On machine learning effectiveness for malware detection in Android OS using static analysis data
V Syrris, D Geneiatakis - Journal of Information Security and Applications, 2021 - Elsevier
Although various security mechanisms have been introduced in Android operating system in
order to enhance its robustness, sheer protection remains an open issue: malicious …
order to enhance its robustness, sheer protection remains an open issue: malicious …
Droidapiminer: Mining api-level features for robust malware detection in android
The increasing popularity of Android apps makes them the target of malware authors. To
defend against this severe increase of Android malwares and help users make a better …
defend against this severe increase of Android malwares and help users make a better …
Significant permission identification for machine-learning-based android malware detection
The alarming growth rate of malicious apps has become a serious issue that sets back the
prosperous mobile ecosystem. A recent report indicates that a new malicious app for …
prosperous mobile ecosystem. A recent report indicates that a new malicious app for …
ProDroid—An Android malware detection framework based on profile hidden Markov model
SK Sasidharan, C Thomas - Pervasive and Mobile Computing, 2021 - Elsevier
Popularity and openness have made the Android platform a potential target of malware
attacks. The hackers continuously evolve and improve attacking strategies to identify …
attacks. The hackers continuously evolve and improve attacking strategies to identify …