Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

A Systematic Overview of the Machine Learning Methods for Mobile Malware Detectionopen access

Authors
Kim, Yu-kyungLee, Jemin JustinGo, Myong-HyunKang, Hae YoungLee, Kyungho
Issue Date
22-7월-2022
Publisher
WILEY-HINDAWI
Citation
SECURITY AND COMMUNICATION NETWORKS, v.2022
Indexed
SCIE
SCOPUS
Journal Title
SECURITY AND COMMUNICATION NETWORKS
Volume
2022
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/143853
DOI
10.1155/2022/8621083
ISSN
1939-0114
Abstract
With the deployment of the 5G cellular system, the upsurge of diverse mobile applications and devices has increased the potential challenges and threats posed to users. Industry and academia have attempted to address cyber security challenges by implementing automated malware detection and machine learning algorithms. This study expands on previous research on machine learning-based mobile malware detection. We critically evaluate 154 selected articles and highlight their strengths and weaknesses as well as potential improvements. We explore the mobile malware detection techniques used in recent studies based on attack intentions, such as server, network, client software, client hardware, and user. In contrast to other SLR studies, our study classified the means of attack as supervised and unsupervised learning. Therefore, this article aims at providing researchers with in-depth knowledge in the field and identifying potential future research and a framework for a thorough evaluation. Furthermore, we review and summarize security challenges related to cybersecurity that can lead to more effective and practical research.
Files in This Item
There are no files associated with this item.
Appears in
Collections
School of Cyber Security > Department of Information Security > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Lee, Kyung Ho photo

Lee, Kyung Ho
정보보호학과
Read more

Altmetrics

Total Views & Downloads

BROWSE