Skip to main content
Log in

Identifying cyber security competencies and skills from online job advertisements through topic modeling

  • Original Article
  • Published:
Security Journal Aims and scope Submit manuscript

Abstract

This study aims to reveal the competence areas and skill sets needed in the business world in the field of cyber security (CS). For this purpose, descriptive analysis, topic modeling analysis, and semantic content analysis were conducted on 9407 CS job advertisements obtained from Indeed.com. The results of the study revealed a total of 10 job titles and 23 skill sets expected by the business world in CS job postings. The first three titles in terms of volume were “Engineer”, “Analyst” and “Specialist”, while the first three skill sets were determined as “Business/Customer services”, “System engineering”, and “Bachelor degree”. In addition, maps showing the relationships between titles and skills were created with a title-skill set matrix. The results of our study can be expected to contribute to candidates and professionals in the field of cyber security, IT organizations, and educational institutions in the cyber security business world by seeing, evaluating, developing, and expanding the current knowledge, skills, and competencies needed in the field.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

References

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ahmet Ayaz.

Ethics declarations

Conflict of interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ozyurt, O., Ayaz, A. Identifying cyber security competencies and skills from online job advertisements through topic modeling. Secur J (2024). https://doi.org/10.1057/s41284-024-00420-w

Download citation

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1057/s41284-024-00420-w

Keywords

Navigation