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 …

Android malware category detection using a novel feature vector-based machine learning model

HHR Manzil, S Manohar Naik - Cybersecurity, 2023 - Springer
Malware attacks on the Android platform are rapidly increasing due to the high consumer
adoption of Android smartphones. Advanced technologies have motivated cyber-criminals to …

Static, dynamic and intrinsic features based android malware detection using machine learning

BA Mantoo, SS Khurana - Proceedings of ICRIC 2019: Recent Innovations …, 2020 - Springer
Android is one of the smartest and advanced operating systems in the mobile phone market
in the current era. The number of smartphone users based on the Android platform is rising …

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 …

[HTML][HTML] A multi-tiered feature selection model for android malware detection based on Feature discrimination and Information Gain

P Bhat, K Dutta - Journal of King Saud University-Computer and …, 2022 - Elsevier
With the rise in popularity and its open system architecture, Android has become vulnerable
to malicious attacks. There are several malware detection approaches available to fortify the …

Android malware detection using machine learning with feature selection based on the genetic algorithm

J Lee, H Jang, S Ha, Y Yoon - Mathematics, 2021 - mdpi.com
Since the discovery that machine learning can be used to effectively detect Android
malware, many studies on machine learning-based malware detection techniques have …

Evaluation of tree based machine learning classifiers for android malware detection

MS Rana, SSMM Rahman, AH Sung - … 2018, Bristol, UK, September 5-7 …, 2018 - Springer
Android is a most popular mobile-based operating system with billions of active users, which
has encouraged hackers and cyber-criminals to push the malware into this operating …

Design an adaptive hybrid approach for genetic algorithm to detect effective malware detection in android division

B Vivekanandam - Journal of ubiquitous computing and …, 2021 - irojournals.com
Data pre-processing is critical for handling classification issues in the field of machine
learning and model identification. The processing of big data sets increases the computer …

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 …

Permission-based android malware detection system using feature selection with genetic algorithm

O Yildiz, IA Doğru - … Journal of Software Engineering and Knowledge …, 2019 - World Scientific
As the use of smartphones increases, Android, as a Linux-based open source mobile
operating system (OS), has become the most popular mobile OS in time. Due to the …