A comprehensive review of Android malware: trends, behaviors, taxonomies, and future direction

The increasing prevalence of malicious applications targeting the Android operating system has intensified security challenges in recent years. As Android’s popularity continues to grow, it not only attracts users but also becomes a prime target for cybercriminals, underscoring the critical need for robust defenses against advanced Android malware. This survey manuscript is intended for a multidisciplinary field to evaluate and analyse the Android malware trend, behaviors, taxonomies, and future direction. This survey presents a comprehensive review of study trends, examines Android malware behaviors over time, and analyzes their patterns across platforms, families, and regions. Additionally, it evaluates existing Android malware taxonomies and identifies key gaps. To address these gaps, we propose an enhanced taxonomy tailored to advanced Android malware. The study concludes with actionable recommendations for future research, aimed at assisting users and industry professionals in mitigating the evolving risks posed by sophisticated Android malware attacks.

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Publication Details

Journal
PeerJ Computer Science
Published
2026-02-06
DOI
https://doi.org/10.7717/peerj-cs.3312
Primary Topic
Advanced Malware Detection Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

A comprehensive review of Android malware: trends, behaviors, taxonomies, and future direction

Collins Chimeleze, Mohammed Abdullah Al-Sharafi, Norziana Jamil
PeerJ Computer Science
Advanced Malware Detection Techniques
article

A comprehensive review of Android malware: trends, behaviors, taxonomies, and future direction

Collins Chimeleze, Mohammed Abdullah Al-Sharafi, Norziana Jamil
article en

Abstract

The increasing prevalence of malicious applications targeting the Android operating system has intensified security challenges in recent years. As Android’s popularity continues to grow, it not only attracts users but also becomes a prime target for cybercriminals, underscoring the critical need for robust defenses against advanced Android malware. This survey manuscript is intended for a multidisciplinary field to evaluate and analyse the Android malware trend, behaviors, taxonomies, and future direction. This survey presents a comprehensive review of study trends, examines Android malware behaviors over time, and analyzes their patterns across platforms, families, and regions. Additionally, it evaluates existing Android malware taxonomies and identifies key gaps. To address these gaps, we propose an enhanced taxonomy tailored to advanced Android malware. The study concludes with actionable recommendations for future research, aimed at assisting users and industry professionals in mitigating the evolving risks posed by sophisticated Android malware attacks.

PeerJ Computer ScienceVol. 12
Abu Dhabi University (AE), King Fahd University of Petroleum and Minerals (SA), Al Ain University (AE), United Arab Emirates University (AE), Universiti Tenaga Nasional (MY)
Peace, Justice and strong institutions
Openalex Percentile: Top 65%
Advanced Malware Detection Techniques
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