A survey and evaluation of android-based malware evasion techniques and detection frameworks

P Faruki, R Bhan, V Jain, S Bhatia, N El Madhoun… - Information, 2023 - mdpi.com
Android platform security is an active area of research where malware detection techniques
continuously evolve to identify novel malware and improve the timely and accurate detection …

The rise of obfuscated Android malware and impacts on detection methods

WF Elsersy, A Feizollah, NB Anuar - PeerJ Computer Science, 2022 - peerj.com
The various application markets are facing an exponential growth of Android malware. Every
day, thousands of new Android malware applications emerge. Android malware hackers …

A survey on automated dynamic malware analysis evasion and counter-evasion: Pc, mobile, and web

A Bulazel, B Yener - Proceedings of the 1st Reversing and Offensive …, 2017 - dl.acm.org
Automated dynamic malware analysis systems are important in combating the proliferation
of modern malware. Unfortunately, malware can often easily detect and evade these …

MEGDroid: A model-driven event generation framework for dynamic android malware analysis

H Hasan, BT Ladani, B Zamani - Information and Software Technology, 2021 - Elsevier
Context The tremendous growth of Android malware in recent years is a strong motivation
for the vast endeavor in detection and analysis of malware apps. A prominent approach for …

A scalable and extensible framework for android malware detection and family attribution

L Zhang, VLL Thing, Y Cheng - Computers & Security, 2019 - Elsevier
The threat from the rampant Android malware has reached an alarming scale, where there
are millions of new malware samples pouring into the application markets every year. In this …

Dark hazard: Large-scale discovery of unknown hidden sensitive operations in android apps

X Pan, X Wang, Y Duan, XF Wang, H Yin - 2017 - ink.library.smu.edu.sg
Hidden sensitive operations (HSO) such as stealing privacy user data upon receiving an
SMS message are increasingly utilized by mobile malware and other potentially-harmful …

A family of droids-android malware detection via behavioral modeling: Static vs dynamic analysis

L Onwuzurike, M Almeida, E Mariconti… - 2018 16th annual …, 2018 - ieeexplore.ieee.org
Following the increasing popularity of the mobile ecosystem, cybercriminals have
increasingly targeted mobile ecosystems, designing and distributing malicious apps that …

Demystifying hidden sensitive operations in android apps

X Sun, X Chen, L Li, H Cai, J Grundy, J Samhi… - ACM Transactions on …, 2023 - dl.acm.org
Security of Android devices is now paramount, given their wide adoption among consumers.
As researchers develop tools for statically or dynamically detecting suspicious apps …

Analysis of Android malware detection techniques: A systematic review

MA Ashawa, S Morris - 2019 - dspace.lib.cranfield.ac.uk
The emergence and rapid development in complexity and popularity of Android mobile
phones has created proportionate destructive effects from the world of cyber-attack. Android …

Towards transparent and stealthy android os sandboxing via customizable container-based virtualization

W Song, J Ming, L Jiang, Y **ang, X Pan, J Fu… - Proceedings of the …, 2021 - dl.acm.org
A fast-growing demand from smartphone users is mobile virtualization. This technique
supports running separate instances of virtual phone environments on the same device. In …