

Demand for cybersecurity professionals from industry and institutions is high, driven by an increasing digitization of society and the growing range of potential targets for cyber attacks. However, despite this pressing need a significant shortfall in the number of cybersecurity experts remains and a discrepancy has emerged between the skills introduced through education and those required in professional settings. In this article, a political, economic, social, technological, legal, and environmental (PESTLE) analysis was utilized to explore the factors impacting cybersecurity education in Europe. The PESTLE analysis enabled the categorization of factors affecting cybersecurty education and skills and allowed for cybersecurity professionals to assess the relevance of the factors at a national-level and European-level. Utilizing the concept of modularity from social network analysis, the interconnectivity of factors was also considered. Finally, a European-level stakeholder survey was conducted to verify the findings. As a result of the above process, a lack of societal awareness of cybersecurity was identified as a major challenge to education, along with a lack of EU-level certification. It should be noted that significant differences between factors perceived as impacting cybersecurity education were found between countries suggesting a need for local solutions to the problem. © 1963-2012 IEEE.
| Engineering controlled terms: | Computer crimeEconomic analysisEnvironmental regulationsFactor analysisNetwork securitySocial networking (online) |
|---|---|
| Engineering uncontrolled terms | And environmental (political, economic, social, technological, legal, and environmental) analyseCyber securityCyber-security educationsCybersecurity skill gapEconomics analysisEnvironmental analysisEuropeLegalPoliticalPolitical analysisSkills gapsSocialSocial Network AnalysisSocial networking (online)StakeholderTechnological |
| Engineering main heading: | Cybersecurity |
| Funding sponsor | Funding number | Acronym |
|---|---|---|
| Deutsche Forschungsgemeinschaft See opportunities by DFG | DFG | |
| Erasmus+ | ||
| Nemzeti Kutatási, Fejlesztési és Innovaciós Alap | NKFIA | |
| European Commission See opportunities by EC | 621701-EPP-1-2020-1-LTEPPKA2- SSA-B | EC |
| Ministerstvo Vnitra České Republiky | VJ03030003 | |
| European Institute of Innovation and Technology | 2021-1.2.1-EITKIC-2021-00006 | EIT |
This work was supported in part by the ERASMUS+ Programme of the European Union under Grant 621701-EPP-1-2020-1-LTEPPKA2- SSA-B \"REWIRE\"; in part by the Ministry of the Interior of the Czech Republic under Grant VJ03030003 through Program IMPAKT 1; in part by the German Research Foundation (DFG)-NFDI 1/1 \"GHGA-German Human Genome Phenome Archive\"; and in part by the Project Strengthening the EIT Digital Knowledge Innovation Community in Hungary under Grant 2021-1.2.1-EITKIC-2021-00006, and implemented with the support provided by the Ministry of Innovation and Technology of Hungary from the National Research, Development and Innovation Fund, financed through the 2021- 1.2.1-EIT-KIC Funding Scheme.
Ricci, S.; Brno University of Technology, Department of Telecommunication, Brno, Czech Republic;
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