A framework for Android Malware detection and classification

M Murtaz, H Azwar, SB Ali… - 2018 IEEE 5th …, 2018 - ieeexplore.ieee.org
Currently the android platform is that the quickest growing hand-held OS package. And it's
become the foremost desirable and viable objective of malevolent applications. Android …

Sequencing system calls for effective malware detection in android

ASM Ahsan-Ul-Haque, MS Hossain… - 2018 IEEE Global …, 2018 - ieeexplore.ieee.org
Malware is one of the biggest threats for the privacy and security of the smart-phone users.
Android is currently the most popular operating system for smart-phones; consequently …

[HTML][HTML] On machine learning effectiveness for malware detection in Android OS using static analysis data

V Syrris, D Geneiatakis - Journal of Information Security and Applications, 2021 - Elsevier
Although various security mechanisms have been introduced in Android operating system in
order to enhance its robustness, sheer protection remains an open issue: malicious …

MalDetect: A classifier fusion approach for detection of android malware

M Dhalaria, E Gandotra - Expert Systems with Applications, 2024 - Elsevier
Android has been a significant target of malware applications due to the exponential growth
of mobile devices. This may result in severe threats to Android users such as financial loss …

DroidDeepLearner: Identifying Android malware using deep learning

Z Wang, J Cai, S Cheng, W Li - 2016 IEEE 37th Sarnoff …, 2016 - ieeexplore.ieee.org
With the proliferation of Android apps, encounters with malicious apps (malware) by mobile
users are on the rise as vulnerabilities in the Android platform system are exploited by …

Applying behavioral detection on android-based devices

A Shabtai, Y Elovici - Mobile Wireless Middleware, Operating Systems, and …, 2010 - Springer
We present Andromaly-a behavioral-based detection framework for Android-powered
mobile devices. The proposed framework realizes a Host-based Intrusion Detection System …

Detecting malicious applications using system services request behavior

M Salehi, M Amini, B Crispo - Proceedings of the 16th EAI International …, 2019 - dl.acm.org
Widespread growth in Android malware stimulates security researchers to propose different
methods for analyzing and detecting malicious behaviors in applications. Nevertheless …

A survey of android malware characterisitics and mitigation techniques

VN Cooper, H Shahriar… - 2014 11th International …, 2014 - ieeexplore.ieee.org
As mobile applications are being developed at a faster pace, the security aspect of is being
neglected. A solid understanding of the characteristics of malware is the first step to …

MobiSentry: Towards easy and effective detection of android malware on smartphones

B Ren, C Liu, B Cheng, J Guo… - Mobile Information …, 2018 - Wiley Online Library
Android platform is increasingly targeted by attackers due to its popularity and openness.
Traditional defenses to malware are largely reliant on expert analysis to design the …

AndyWar: an intelligent android malware detection using machine learning

S Roy, S Bhanja, A Das - Innovations in Systems and Software …, 2023 - Springer
A personal Swiss army tool means a mobile device is now a necessity of every person of this
world. Mobile devices are now a part of our daily life. And most of the mobile users are using …