A review of android malware detection approaches based on machine learning

K Liu, S Xu, G Xu, M Zhang, D Sun, H Liu - IEEE access, 2020 - ieeexplore.ieee.org
Android applications are develo** rapidly across the mobile ecosystem, but Android
malware is also emerging in an endless stream. Many researchers have studied the …

The evolution of android malware and android analysis techniques

K Tam, A Feizollah, NB Anuar, R Salleh… - ACM Computing …, 2017 - dl.acm.org
With the integration of mobile devices into daily life, smartphones are privy to increasing
amounts of sensitive information. Sophisticated mobile malware, particularly Android …

Static analysis of android apps: A systematic literature review

L Li, TF Bissyandé, M Papadakis, S Rasthofer… - Information and …, 2017 - Elsevier
Context Static analysis exploits techniques that parse program source code or bytecode,
often traversing program paths to check some program properties. Static analysis …

Security and privacy in device-to-device (D2D) communication: A review

M Haus, M Waqas, AY Ding, Y Li… - … Surveys & Tutorials, 2017 - ieeexplore.ieee.org
Device-to-device (D2D) communication presents a new paradigm in mobile networking to
facilitate data exchange between physically proximate devices. The development of D2D is …

Mobile malware attacks: Review, taxonomy & future directions

A Qamar, A Karim, V Chang - Future Generation Computer Systems, 2019 - Elsevier
A pervasive increase in the adoption rate of smartphones with Android OS is noted in recent
years. Android's popular and attractive environment not only captured the attention of users …

[PDF][PDF] Efficiency of malware detection in android system: A survey

MA Omer, SR Zeebaree, MA Sadeeq… - Asian Journal of …, 2021 - academia.edu
Smart phones are becoming essential in our lives, and Android is one of the most popular
operating systems. Android OS is wide-ranging in the mobile industry today because of its …

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 …

Systematically understanding the cyber attack business: A survey

K Huang, M Siegel, S Madnick - ACM Computing Surveys (CSUR), 2018 - dl.acm.org
Cyber attacks are increasingly menacing businesses. Based on the literature review and
publicly available reports, this article conducts an extensive and consistent survey of the …

Malicious application detection in android—a systematic literature review

T Sharma, D Rattan - Computer Science Review, 2021 - Elsevier
Context: In last decade, due to tremendous usage of smart phones it seems that these
gadgets became an essential necessity of day-to-day life. People are using new …

Assessing and improving malware detection sustainability through app evolution studies

H Cai - ACM Transactions on Software Engineering and …, 2020 - dl.acm.org
Machine learning–based classification dominates current malware detection approaches for
Android. However, due to the evolution of both the Android platform and its user apps …