Published 2024-09-25
Keywords
- Human Resource Management, Aviation Management, Cybersecurity, Artificial Intelligence
- İnsan Kaynakları Yönetimi, Havacılık Yönetimi, Siber Güvenlik, Yapay Zeka
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Copyright (c) 2024 Filiz Mızrak
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
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Abstract
The escalating complexity of cyber threats in aviation highlights the crucial need to integrate advanced technologies and strategic human resource management. This study delved into incorporating artificial intelligence (AI) in aviation cybersecurity, explicitly focusing on the strategic role of human resources (HR) in supporting these endeavours. Semi-structured interviews with eight industry experts from Turkey were analysed using NVivo to identify critical themes such as HR's involvement in cybersecurity, challenges in AI implementation, and the significance of cultural integration and interdepartmental collaboration. Sentiment analysis with Python's TextBlob indicated high positivity towards AI and strategic HR involvement. The findings underscored the necessity for continuous education, strategic recruitment, and resilient cybersecurity frameworks, emphasising AI's transformative impact on real-time threat detection and predictive analytics. The research offered valuable insights and recommendations for enhancing aviation cybersecurity, highlighting the essential role of HR and the advantages of AI integration.
References
- ACI World. (2023). Ways to reduce DDoS attacks on airports. ACI World Insights. Retrieved from https://blog.aci.aero/cybersecurity/ways-to-reduce-ddos-attacks-on-airports/
- Atlantic Council. (2020). Aviation cybersecurity: Scoping the challenge. Retrieved from Atlantic Council https://www.atlanticcouncil.org/in-depth-research-reports/report/aviation-cybersecurity-scoping-the-challenge-report/.
- Baron Garcia, A. (2022). Machine Learning and Artificial Intelligence Methods for Cybersecurity Data within the Aviation Ecosystem.
- Bird, S., Klein, E., & Loper, E. (2009). Natural language processing with Python: analysing text with the natural language toolkit. " O'Reilly Media, Inc.".
- Bitsight. (2020). New Study Reveals Cybersecurity Risks in the World’s Largest Airports. Retrieved from https://www.bitsight.com/blog/new-study-reveals-cybersecurity-risks-in-the-worlds-largest-airports.
- CM Alliance. (2023). Recent Cyber Attacks 2023: 5 major data breaches & ransomware attacks. Retrieved from https://www.cm-alliance.com/cybersecurity-blog/may-2023-recent-cyber-attacks-data-breaches-ransomware-attacks
- Duchamp, H., Bayram, I., & Korhani, R. (2016, June). Cyber-Security, a new challenge for the aviation and automotive industries. In Seminar in information systems: applied cybersecurity strategy for managers (pp. 1-4).
- Garcia, A. B., Babiceanu, R. F., & Seker, R. (2021, April). Artificial intelligence and machine learning approaches for aviation cybersecurity: An overview. In 2021 Integrated Communications Navigation and Surveillance Conference (ICNS) (pp. 1-8). IEEE.
- Gillam, A. R. (2019). Cyber security and human resource development implications for the enterprise. Cyber Security: A Peer-Reviewed Journal, 3(1), 73-92.
- Harvey, G., & Turnbull, P. (2020). Ricardo flies Ryanair: Strategic human resource management and competitive advantage in a Single European Aviation Market. Human Resource Management Journal, 30(4), 553-565.
- Henning, S. (2015). The wellness of airline cabin attendants: A systems theory perspective. African Journal of Hospitality, Tourism and Leisure, 4(1), 419-430.
- InformationWeek. (2023). Understanding DDoS Attacks on US Airport Websites and Escalating Threats. Retrieved from InformationWeek
- Jung, Y., & Takeuchi, N. (2010). Performance implications for the relationships among top management leadership, organisational culture, and appraisal practice: Testing two theory-based models of organisational learning theory in Japan. The International Journal of Human Resource Management, 21(11), 1931-1950.
- Kankaew, K., & Pongsapak, T. (2020, October). Contingency theory: the analysis in air transportation before, during, and after the pandemic in Thailand. In IOP Conference Series: Materials Science and Engineering (Vol. 918, p. 012047). IOP Publishing.
- Kazim, J. (2023). Aviation Cybersecurity: Risks and Mitigations. National Business Aviation Association. Retrieved from https://nbaa.org/news/business-aviation-insider/2023-07/aviation-cybersecurity-risks-and-mitigations/
- Kumar, M. (2022). Optimised application of artificial intelligence (AI) in aviation market. International Journal of Recent Research Aspects, 9(4).
- Llorens, J. J. (2017). The Role of Human Resource Management in Cybersecurity. In Public Personnel Management (pp. 192-199). Routledge.
- Manoharan, P. (2024). A Review on Cybersecurity in HR Systems: Protecting Employee Data in the Age of AI. Regulation (GDPR), 4(5).
- Mızrak, F. (2023). Integrating cybersecurity risk management into strategic management: a comprehensive literature review. Research Journal of Business and Management, 10(3), 98-108.
- Resecurity. (2023). The Aviation and Aerospace Sectors Face Skyrocketing Cyber Threats. Retrieved from Resecurity. https://www.resecurity.com/blog/article/the-aviation-and-aerospace-sectors-face-skyrocketing-cyber-threats
- Roadmap, A. I. (2020). A human-centric approach to AI in aviation. European Aviation Safety Agency, 1.
- Sabillon, R., & Bermejo Higuera, J. R. (2023, July). The importance of cybersecurity awareness training in the aviation industry for early detection of Cyberthreats and vulnerabilities. In International Conference on Human-Computer Interaction (pp. 461-479). Cham: Springer Nature Switzerland.
- Scott, B. I. (2019). Aviation Cybersecurity: Regulatory Approach in the European Union. Aviation Cybersecurity, 1-266.
- Whitworth, H., Al-Rubaye, S., Tsourdos, A., & Jiggins, J. (2023). 5G Aviation Networks Using Novel AI Approach for DDoS Detection. IEEE Access.