[HTML][HTML] Comprehensive review and analysis of anti-malware apps for smartphones

M Talal, AA Zaidan, BB Zaidan, OS Albahri… - Telecommunication …, 2019 - Springer
The new and disruptive technologies for ensuring smartphone security are very limited and
largely scattered. The available options and gaps in this research area must be analysed to …

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 …

Droiddetector: android malware characterization and detection using deep learning

Z Yuan, Y Lu, Y Xue - Tsinghua Science and Technology, 2016 - ieeexplore.ieee.org
Smartphones and mobile tablets are rapidly becoming indispensable in daily life. Android
has been the most popular mobile operating system since 2012. However, owing to the …

A taxonomy and qualitative comparison of program analysis techniques for security assessment of android software

A Sadeghi, H Bagheri, J Garcia… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
In parallel with the meteoric rise of mobile software, we are witnessing an alarming
escalation in the number and sophistication of the security threats targeted at mobile …

Understanding smartphone security behaviors: An extension of the protection motivation theory with anticipated regret

SF Verkijika - Computers & Security, 2018 - Elsevier
Many people nowadays perpetually live their lives through their smartphones. This has been
made possible by the connectivity capability of smartphones and the numerous smartphone …

Security behaviors of smartphone users

A Das, HU Khan - Information & Computer Security, 2016 - emerald.com
Purpose–This paper aims to report on the information security behaviors of smartphone
users in an affluent economy of the Middle East. Design/methodology/approach–A model …

Machine learning-based malicious application detection of android

L Wei, W Luo, J Weng, Y Zhong, X Zhang, Z Yan - IEEE Access, 2017 - ieeexplore.ieee.org
In this paper, we propose a machine learning-based approach to detect malicious mobile
malware in Android applications. This paper is able to capture instantaneous attacks that …

A survey on analysis and detection of Android ransomware

S Sharma, R Kumar… - … and Computation: Practice …, 2021 - Wiley Online Library
Smart‐phones have become a necessity for users due to their abundance of services such
as global positioning system, Wi‐Fi, voice/video calls, SMS, camera, and so forth. It contains …

Malware detection using static analysis in Android: a review of FeCO (features, classification, and obfuscation)

R Jusoh, A Firdaus, S Anwar, MZ Osman… - PeerJ Computer …, 2021 - peerj.com
Android is a free open-source operating system (OS), which allows an in-depth
understanding of its architecture. Therefore, many manufacturers are utilizing this OS to …

Fine-grained android malware detection based on deep learning

D Li, Z Wang, Y Xue - 2018 IEEE Conference on …, 2018 - ieeexplore.ieee.org
Android smartphone users have been suffering from the security problems these years.
There is a serious threat to the network security and privacy brought by the mobile malware …