A review on feature selection in mobile malware detection

A Feizollah, NB Anuar, R Salleh, AWA Wahab - Digital investigation, 2015 - Elsevier
The widespread use of mobile devices in comparison to personal computers has led to a
new era of information exchange. The purchase trends of personal computers have started …

[PDF][PDF] Comparative analysis of feature extraction methods of malware detection

S Ranveer, S Hiray - International Journal of Computer Applications, 2015 - Citeseer
Recent years have encountered massive growth in malwares which poses a severe threat to
modern computers and internet security. Existing malware detection systems are confronting …

[HTML][HTML] The current state and future of mobile security in the light of the recent mobile security threat reports

AC Cinar, TB Kara - Multimedia Tools and Applications, 2023 - Springer
Smartphones have become small computers that meet many of our needs, from e-mail and
banking transactions to communication and social media use. In line with these attractive …

[HTML][HTML] Malware detection issues, challenges, and future directions: A survey

FA Aboaoja, A Zainal, FA Ghaleb, BAS Al-Rimy… - Applied Sciences, 2022 - mdpi.com
The evolution of recent malicious software with the rising use of digital services has
increased the probability of corrupting data, stealing information, or other cybercrimes by …

A survey on mobile malware detection techniques

V Kouliaridis, K Barmpatsalou… - … on Information and …, 2020 - search.ieice.org
Modern mobile devices are equipped with a variety of tools and services, and handle
increasing amounts of sensitive information. In the same trend, the number of vulnerabilities …

Evaluation of machine learning classifiers for mobile malware detection

FA Narudin, A Feizollah, NB Anuar, A Gani - Soft Computing, 2016 - Springer
Mobile devices have become a significant part of people's lives, leading to an increasing
number of users involved with such technology. The rising number of users invites hackers …

[PDF][PDF] A study of android malware detection techniques and machine learning

B Baskaran, A Ralescu - 2016 - academia.edu
Android OS is one of the widely used mobile Operating Systems. The number of malicious
applications and adwares are increasing constantly on par with the number of mobile …

A survey on dynamic mobile malware detection

P Yan, Z Yan - Software Quality Journal, 2018 - Springer
The outstanding advances of mobile devices stimulate their wide usage. Since mobile
devices are coupled with third-party applications, lots of security and privacy problems are …

[HTML][HTML] A learning model to detect maliciousness of portable executable using integrated feature set

A Kumar, KS Kuppusamy, G Aghila - … of King Saud University-Computer and …, 2019 - Elsevier
Malware is one of the top most obstructions for expansion and growth of digital acceptance
among the users. Both enterprises and common users are struggling to get protected from …

Machine learning algorithm for malware detection: Taxonomy, current challenges, and future directions

NZ Gorment, A Selamat, LK Cheng, O Krejcar - IEEE Access, 2023 - ieeexplore.ieee.org
Malware has emerged as a cyber security threat that continuously changes to target
computer systems, smart devices, and extensive networks with the development of …