Towards a systematic description of the field using bibliometric analysis: malware evolution.

Android malware Bibliometric Intrusion detection system Web of science

Journal

Scientometrics
ISSN: 0138-9130
Titre abrégé: Scientometrics
Pays: Switzerland
ID NLM: 7901197

Informations de publication

Date de publication:
2021
Historique:
received: 10 04 2020
accepted: 09 12 2020
pubmed: 16 2 2021
medline: 16 2 2021
entrez: 15 2 2021
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 33583978
doi: 10.1007/s11192-020-03834-6
pii: 3834
pmc: PMC7871169
doi:

Types de publication

Journal Article

Langues

eng

Pagination

2013-2055

Informations de copyright

© Akadémiai Kiadó, Budapest, Hungary 2021.

Références

Front Public Health. 2019 Dec 18;7:384
pubmed: 31921749
Int J Biol Sci. 2020 Jan 1;16(1):27-37
pubmed: 31892843
J Healthc Eng. 2019 Dec 25;2019:1649363
pubmed: 31949889
Scientometrics. 2015;105(3):1809-1831
pubmed: 26594073
Comput Methods Programs Biomed. 2020 Jan;183:105075
pubmed: 31526946
Dent Traumatol. 2020 Apr;36(2):89-99
pubmed: 31800153
Sensors (Basel). 2019 May 09;19(9):
pubmed: 31075883
Health Info Libr J. 2020 Mar;37(1):5-25
pubmed: 31889380
J Hazard Mater. 2020 Dec 5;400:123110
pubmed: 32574874

Auteurs

Sharfah Ratibah Tuan Mat (SRT)

Faculty of Computing, University Malaysia Pahang, 26300 Gambang, Kuantan, Pahang Malaysia.

Mohd Faizal Ab Razak (MF)

Faculty of Computing, University Malaysia Pahang, 26300 Gambang, Kuantan, Pahang Malaysia.

Mohd Nizam Mohmad Kahar (MNM)

Faculty of Computing, University Malaysia Pahang, 26300 Gambang, Kuantan, Pahang Malaysia.

Juliza Mohamad Arif (JM)

Faculty of Computing, University Malaysia Pahang, 26300 Gambang, Kuantan, Pahang Malaysia.

Salwana Mohamad (S)

Faculty of Computing, University Malaysia Pahang, 26300 Gambang, Kuantan, Pahang Malaysia.

Ahmad Firdaus (A)

Faculty of Computing, University Malaysia Pahang, 26300 Gambang, Kuantan, Pahang Malaysia.

Classifications MeSH