Sharfah Ratibah, Tuan Mat and Mohd Faizal, Ab Razak and M. N. M., Kahar and Juliza, Mohamad Arif and Salwana, Mohamad and Ahmad Firdaus, Zainal Abidin (2021) Towards a systematic description of the feld using bibliometric analysis. Scientometrics, 126 (3). 2013 -2055. ISSN 1588-2861. (Published)
|
Pdf
Towards a systematic description of the field using bibliometric analysis.pdf Download (1MB) | Preview |
Abstract
Malware is a blanket term for Trojan, viruses, spyware, worms, and other files that are purposely created to harm computers, mobile devices, or computer networks. Malware commonly steals, encrypts, damages, and causes a mess in these devices. The growth of malware attacks has a consequence on the growth and attractiveness of mobile features in mobile devices. Most malware research aims to probe the different methods of preventing, analysing, and detecting malware attacks. This paper aims to demonstrate an exhaustive knowledge map of the Android malware by collecting a ten (10) year dataset from the Web of Science database. A bibliometric analysis was employed for analysing articles published between 2010 and 2019. Using the keyword "malware", 5622 articles were retrieved. After scrutinising with the keywords of "Android malware", 1278 articles were then collected. This study provides an overview of the articles, productivity, research area, the Web of Science categories, authors, high-cited articles, institutions, and impact journals examining malware. Research activities are continued by placing terms in the classification of malware detection systems that outline important areas in malware research. From the analysis, it can be concluded that the highest number of publications focusing on malware studies came from the continent of Asia. Additionally, this study discusses the challenges of malware studies in the recent research studies as well as the future direction.
| Item Type: | Article |
|---|---|
| Additional Information: | Indexed by Scopus |
| Uncontrolled Keywords: | Bibliometric; Android malware; Web of science; Intrusion detection system |
| Subjects: | Q Science > QA Mathematics > QA76 Computer software |
| Faculty/Division: | Institute of Postgraduate Studies Faculty of Computing |
| Depositing User: | Mrs Norsaini Abdul Samat |
| Date Deposited: | 13 Jul 2021 07:57 |
| Last Modified: | 13 Jul 2021 07:57 |
| URI: | http://umpir.ump.edu.my/id/eprint/31643 |
| Download Statistic: | View Download Statistics |
Actions (login required)
 |
View Item |