A systematic overview of the machine learning methods for mobile malware detection

Y Kim, JJ Lee, MH Go, HY Kang… - Security and …, 2022 - Wiley Online Library
With the deployment of the 5G cellular system, the upsurge of diverse mobile applications
and devices has increased the potential challenges and threats posed to users. Industry and …

[HTML][HTML] An improved binary owl feature selection in the context of Android malware detection

H Alazzam, A Al-Adwan, O Abualghanam, E Alhenawi… - Computers, 2022 - mdpi.com
Recently, the proliferation of smartphones, tablets, and smartwatches has raised security
concerns from researchers. Android-based mobile devices are considered a dominant …

[HTML][HTML] A novel neural network architecture using automated correlated feature layer to detect android malware applications

A Alabrah - Mathematics, 2023 - mdpi.com
Android OS devices are the most widely used mobile devices globally. The open-source
nature and less restricted nature of the Android application store welcome malicious apps …

Android malware detection: a literature review

A Sabbah, A Taweel, S Zein - International Conference on Ubiquitous …, 2022 - Springer
Mobile applications are increasingly being used to support critical domains such as health,
logistics, and banking, to name a few. These mobile apps, hence, became a target for …

Malware detection with obfuscation techniques on android using dynamic analysis

T Mantoro, D Stephen, W Wandy - 2022 IEEE 8th International …, 2022 - ieeexplore.ieee.org
Android malware has become a growing issue for Android users, thanks to the popularity of
the Operating System that has grown rapidly throughout the decade. Various approaches …

Android Malware Detection System Based on Ensemble Learning

O AbuAlghanam, H Alazzam, M Qatawneh, O Aladwan… - 2023 - researchsquare.com
The rapid advancement of smartphones, as well as their widespread use, has resulted in a
significant increase in new security concerns. Malware's covert techniques make signature …

Cadecff: Compiler-agnostic deobfuscator of control flow flattening

W Dong, J Lin, R Chang, R Wang - Proceedings of the 13th Asia-Pacific …, 2022 - dl.acm.org
With the increasing influence of malware and various attacks, malware detection methods
have been continuously proposed. However, in order to evade malware detection, code …

Android Malware Detection Against String Encryption Based Obfuscation

D Bhakta, MA Yousuf, MS Rana - Congress on Intelligent Systems, 2022 - Springer
Android operating system is one of the most prominent operating systems among the mobile
device users worldwide. But it is often the most targeted platform for malicious activities …

Enhanced Malware Detection for Mobile Operating Systems Using Machine Learning and Dynamic Analysis.

FMM Aledam, BMA Al-Latteef - International Journal of …, 2024 - search.ebscohost.com
Mobile smartphone operating systems have garnered widespread popularity due to their
open-source nature and high performance. However, the convenience of these systems has …

Systematic Literature Review on Android Malware Detection

PC Anyaora, OS Adebayo, I Ismaila, JA Ojeniyi… - 2023 - repository.futminna.edu.ng
Users of Android-powered smartphones and tablets have multiplied dramatically. Thanks to
Android third-party apps, the essential applications, such as banking and healthcare, are …