A multimodal malware detection technique for Android IoT devices using various features

R Kumar, X Zhang, W Wang, RU Khan, J Kumar… - IEEE …, 2019 - ieeexplore.ieee.org
Internet of things (IoT) is revolutionizing this world with its evolving applications in various
aspects of life such as sensing, healthcare, remote monitoring, and so on. Android devices …

[HTML][HTML] An optimized and efficient android malware detection framework for future sustainable computing

SK Smmarwar, GP Gupta, S Kumar, P Kumar - … Energy Technologies and …, 2022 - Elsevier
Android-based smart devices cater to services in almost every aspect of our lives like
personal, professional, social, banking, business, etc. However, people with increasingly …

A hybrid approach for android malware detection and family classification

M Dhalaria, E Gandotra - 2020 - ir.juit.ac.in
With the increase in the popularity of mobile devices, malicious applications targeting
Android platform have greatly increased. Malware is coded so prudently that it has become …

RanDroid: Android malware detection using random machine learning classifiers

JD Koli - 2018 Technologies for Smart-City Energy Security and …, 2018 - ieeexplore.ieee.org
The growing polularity of Android based smartphone attracted the distribution of malicious
applications developed by attackers which resulted the need for sophisticated malware …

Consortium blockchain-based malware detection in mobile devices

J Gu, B Sun, X Du, J Wang, Y Zhuang, Z Wang - IEEE Access, 2018 - ieeexplore.ieee.org
To address the problem of detecting malicious codes in malware and extracting the
corresponding evidences in mobile devices, we construct a consortium blockchain …

SAMADroid: a novel 3-level hybrid malware detection model for android operating system

S Arshad, MA Shah, A Wahid, A Mehmood… - IEEE …, 2018 - ieeexplore.ieee.org
For the last few years, Android is known to be the most widely used operating system and
this rapidly increasing popularity has attracted the malware developer's attention. Android …

A novel dynamic android malware detection system with ensemble learning

P Feng, J Ma, C Sun, X Xu, Y Ma - IEEE Access, 2018 - ieeexplore.ieee.org
With the popularity of Android smartphones, malicious applications targeted Android
platform have explosively increased. Proposing effective Android malware detection method …

Android malware detection using genetic algorithm based optimized feature selection and machine learning

A Fatima, R Maurya, MK Dutta… - … and signal processing …, 2019 - ieeexplore.ieee.org
Android platform due to open source characteristic and Google backing has the largest
global market share. Being the world's most popular operating system, it has drawn the …

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 developing rapidly across the mobile ecosystem, but Android
malware is also emerging in an endless stream. Many researchers have studied the …

Discovering optimal features using static analysis and a genetic search based method for Android malware detection

A Firdaus, NB Anuar, A Karim, MFA Razak - Frontiers of Information …, 2018 - Springer
Mobile device manufacturers are rapidly producing miscellaneous Android versions
worldwide. Simultaneously, cyber criminals are executing malicious actions, such as …