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

Sharfah Ratibah Tuan Mat1, Mohd Faizal Ab Razak1, Mohd Nizam Mohmad Kahar1

  • 1Faculty of Computing, University Malaysia Pahang, 26300 Gambang, Kuantan, Pahang Malaysia.

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Summary

This study maps Android malware research from 2010-2019 using bibliometrics. Asia leads in publications, highlighting key research trends and future directions in malware detection.

Keywords:
Android malwareBibliometricIntrusion detection systemWeb of science

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Area of Science:

  • Computer Science
  • Cybersecurity
  • Information Technology

Background:

  • Malware, including Trojans, viruses, and spyware, poses a significant threat to digital devices and networks.
  • The increasing sophistication of malware attacks necessitates continuous research into prevention, analysis, and detection methods.
  • Mobile device features are directly impacted by the rise in malware threats, driving research focus.

Purpose of the Study:

  • To create a comprehensive knowledge map of Android malware research.
  • To analyze trends and productivity in Android malware studies over a decade (2010-2019).
  • To identify key research areas, influential authors, institutions, and journals in the field.

Main Methods:

  • Bibliometric analysis of 1278 articles on Android malware.
  • Data collection from the Web of Science database for the period 2010-2019.
  • Systematic review of publication trends, research areas, and citation impact.

Main Results:

  • Asia emerged as the continent with the highest number of publications on malware studies.
  • Identified key research areas, influential authors, institutions, and high-cited articles.
  • Provided an overview of research productivity, Web of Science categories, and impact journals.

Conclusions:

  • The study offers insights into the evolution and landscape of Android malware research.
  • Highlights Asia's leading role in malware research publications.
  • Discusses current challenges and future research directions in malware detection systems.