Detection approaches for android malware: Taxonomy and review analysis

HHR Manzil, SM Naik - Expert Systems with Applications, 2024 - Elsevier
The main objective of this review is to present an in-depth study of Android malware
detection approaches. This article provides a comprehensive survey of 150 studies on …

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 …

[HTML][HTML] MalDozer: Automatic framework for android malware detection using deep learning

EMB Karbab, M Debbabi, A Derhab, D Mouheb - Digital investigation, 2018 - Elsevier
Android OS experiences a blazing popularity since the last few years. This predominant
platform has established itself not only in the mobile world but also in the Internet of Things …

MAPAS: a practical deep learning-based android malware detection system

J Kim, Y Ban, E Ko, H Cho, JH Yi - International Journal of Information …, 2022 - Springer
A lot of malicious applications appears every day, threatening numerous users. Therefore, a
surge of studies have been conducted to protect users from newly emerging malware by …

Android malware familial classification and representative sample selection via frequent subgraph analysis

M Fan, J Liu, X Luo, K Chen, Z Tian… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
The rapid increase in the number of Android malware poses great challenges to anti-
malware systems, because the sheer number of malware samples overwhelms malware …

Review of android malware detection based on deep learning

Z Wang, Q Liu, Y Chi - Ieee Access, 2020 - ieeexplore.ieee.org
At present, smartphones running the Android operating system have occupied the leading
market share. However, due to the Android operating system's open-source nature, Android …

A survey on dynamic mobile malware detection

P Yan, Z Yan - Software Quality Journal, 2018 - Springer
The outstanding advances of mobile devices stimulate their wide usage. Since mobile
devices are coupled with third-party applications, lots of security and privacy problems are …

A survey of malware analysis using community detection algorithms

A Amira, A Derhab, EB Karbab, O Nouali - ACM Computing Surveys, 2023 - dl.acm.org
In recent years, we have witnessed an overwhelming and fast proliferation of different types
of malware targeting organizations and individuals, which considerably increased the time …

An empirical evaluation of GDPR compliance violations in Android mHealth apps

M Fan, L Yu, S Chen, H Zhou, X Luo… - 2020 IEEE 31st …, 2020 - ieeexplore.ieee.org
The purpose of the General Data Protection Regulation (GDPR) is to provide improved
privacy protection. If an app controls personal data from users, it needs to be compliant with …

Obfuscation-resilient android malware analysis based on complementary features

C Gao, M Cai, S Yin, G Huang, H Li… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Existing Android malware detection methods are usually hard to simultaneously resist
various obfuscation techniques. Therefore, bytecode-based code obfuscation becomes an …