Vasudevan, Srinidhi ORCID: https://orcid.org/0000-0002-8584-9112, Piazza, Anna ORCID: https://orcid.org/0000-0002-5785-6948 and Carr, Madeline (2023) A decade of studies on cyber security training in organizations using social network analysis: a systematic literature review through keyword co-occurrence network. In: 2nd International Conference on Business Analytics for Technology and Security (ICBATS). 7th - 8th March 2023, Khalifa University, Dubai, United Arab Emirates. IEEE Xplore . Institute of Electrical and Electronics Engineers (IEEE), Piscataway, New Jersey, pp. 1-6. ISBN 979-8350335644; 979-8350335651 ISSN 2473-2001 (Online) (doi:10.1109/ICBATS57792.2023.10111127)

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Abstract

In recent years cyber security training has become
crucial to all organizations in order to be compliant with
regulations and remain competitive in the market. To understand
how vulnerabilities due to lack of employee awareness can be
avoided and how organizations can provide useful training, a
scientific systematic review is conducted. While traditional
systematic review studies focus on analyzing publication trends,
country of publication, or author affiliations, this research
performs a systematic review of the field by mapping the existing
state of research based on topic clustering and social network
analysis. Network analysis using keyword co-occurrence is
deemed to be advantageous as it enables identification of research themes and how they have evolved. The systematic review follows a four step process: data collection on cyber security training from the Web of Science database; data filtering to avoid duplicates and identify the core papers; network analysis creating the cooccurrence networks using these papers; and analyzing the patterns among key words that emerge in the literature. This research reveals the trends of core topics on cyber security training in organizations. By using the quantitative and rigorous research approach for conducting a systematic review of cyber security training in organizations in the cybersecurity field, this research contributes to filling the gap on cyber security training review. The findings highlight the trend towards adopting immersive technologies that provide insight into the employees’ cyber behavior before developing effective training.

Item Type:	Conference Proceedings
Title of Proceedings:	2nd International Conference on Business Analytics for Technology and Security (ICBATS). 7th - 8th March 2023, Khalifa University, Dubai, United Arab Emirates
Uncontrolled Keywords:	cyber security training; keyword co-occurrence network; systematic literature review; cyber security training trends; organizational cyber resilience
Subjects:	H Social Sciences > H Social Sciences (General) H Social Sciences > HD Industries. Land use. Labor > HD61 Risk Management Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / School / Research Centre / Research Group:	Greenwich Business School Greenwich Business School > School of Business, Operations and Strategy
Last Modified:	09 Oct 2024 16:54
URI:	http://gala.gre.ac.uk/id/eprint/44497

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