A survey of malware detection in Android apps: Recommendations and perspectives for future research

A Razgallah, R Khoury, S Hallé… - Computer Science …, 2021 - Elsevier
Android has dominated the smartphone market and has become the most popular operating
system for mobile devices. However, security threats in Android applications have also …

A survey of android application and malware hardening

V Sihag, M Vardhan, P Singh - Computer Science Review, 2021 - Elsevier
In the age of increasing mobile and smart connectivity, malware poses an ever evolving
threat to individuals, societies and nations. Anti-malware companies are often the first and …

Backdoor attack on machine learning based android malware detectors

C Li, X Chen, D Wang, S Wen… - … on dependable and …, 2021 - ieeexplore.ieee.org
Machine learning (ML) has been widely used for malware detection on different operating
systems, including Android. To keep up with malware's evolution, the detection models …

[HTML][HTML] Android application forensics: A survey of obfuscation, obfuscation detection and deobfuscation techniques and their impact on investigations

X Zhang, F Breitinger, E Luechinger… - Forensic Science …, 2021 - Elsevier
Android obfuscation techniques include not only classic code obfuscation techniques that
were adapted to Android, but also obfuscation methods that target the Android platform …

A survey of android malware static detection technology based on machine learning

Q Wu, X Zhu, B Liu - Mobile Information Systems, 2021 - Wiley Online Library
With the rapid growth of Android devices and applications, the Android environment faces
more security threats. Malicious applications stealing usersʼ privacy information, sending …

BLADE: Robust malware detection against obfuscation in android

V Sihag, M Vardhan, P Singh - Forensic Science International: Digital …, 2021 - Elsevier
Android OS popularity has given significant rise to malicious apps targeting it. Malware use
state of the art obfuscation methods to hide their functionality and evade anti-malware …

Detecting and categorizing Android malware with graph neural networks

P Xu, C Eckert, A Zarras - Proceedings of the 36th annual ACM …, 2021 - dl.acm.org
Android is the most dominant operating system in the mobile ecosystem. As expected, this
trend did not go unnoticed by miscreants, and quickly enough, it became their favorite …

A review on android malware: Attacks, countermeasures and challenges ahead

SG Selvaganapathy… - Journal of Cyber …, 2021 - journals.riverpublishers.com
Smartphones usage have become ubiquitous in modern life serving as a double-edged
sword with opportunities and challenges in it. Along with the benefits, smartphones also …

Recent advances in android mobile malware detection: A systematic literature review

A Alzubaidi - IEEE Access, 2021 - ieeexplore.ieee.org
In recent years, the global pervasiveness of smartphones has prompted the development of
millions of free and commercially available applications. These applications allow users to …

Detection of malicious Android applications using Ontology-based intelligent model in mobile cloud environment

JN OS - Journal of Information Security and Applications, 2021 - Elsevier
Abstract Mobile Cloud Computing (MCC) is a computing model that makes mobile devices
resourceful by executing mobile applications (apps) in the cloud and storing data in cloud …