A Novel Security Risk Analysis Using the AHP Method in Smart Railway Systems
Source abstract
Abstract
Transportation has an essential place in societies and importance to people in terms of its social and economic aspects. Innovative rail systems need to be integrated with developing technologies for transportation. Systemic failures, personnel errors, sabotage, and cyber-attacks in the techniques used will cause a damaged corporate reputation and revenue losses. In this study, cybersecurity attack methods in smart rail systems were determined, and cyber events occurring worldwide through these technologies were analyzed. Risk analysis in terms of transportation safety in smart rail systems was determined by considering the opinions of 10 different experts along with the Analytic Hierarchical Process (AHP) performance criteria. Informatics experts were selected from a group of people with at least 5–15 years of experience. According to these risk analysis calculations, cybersecurity stood out as the most critical security risk at 27.74%. Other risky areas included physical security, calculated at 14.59%, operator errors at 16.20%, and environmental security at 10.93%.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Railway Systems and Energy Efficiency · Technology and Security Systems · Risk and Safety Analysis
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Computer Engineering, Faculty of Engineering, Karabuk University, Karabuk 78050, Turkey
Department of Computer Engineering, Faculty of Engineering, Van Yuzuncu Yil University, Kampüs, Tuşba, Van 65080, Turkey
References (26)
Show source-provided references
1. Avcı, I., Ozarpa, C., and Aydın, M.A. (2020, January 20–24). A survey of international security standards for smart grids, industrial control system and critical infrastructure. Proceedings of the 12th International Exergy, Energy and Environment Symposium (IEEES-12), Doha, Qatar.
2. Supporting rail freight services in Turkey: Private sector perspectives on logistics connectivity issues10.1016/j.cstp.2023.101098 ↗
3. The Selection of Logistic Centers Location Using Multi-Criteria Comparison: Case Study of the Balkan Peninsula10.12700/APH.11.10.2014.10.6 ↗
4. Future goals of intelligent transportation systems in the world examination of japan sample
5. Topaloglu, S. (2023). Modeling of Public Relations (PR) Strategies for Cyber Threat Management. [Doctoral Dissertation, Mykolo Romerio Universitetas].
6. Mecheva, T., and Kakanakov, N. (2020). Cybersecurity in intelligent transportation systems. Computers, 9.10.20944/preprints202008.0082.v1 ↗
7. Smart cities, playable cities, and cybersecurity: A systematic review10.1080/10447318.2021.2012381 ↗
8. Security threats and measures in the Internet of Things for smart city infrastructure: A state of art10.1002/ett.4571 ↗
9. Del Moral, J., iOlius, A.D., Vidal, G., Crespo, P.M., and Martinez, J.E. (2024). Cybersecurity in Critical Infrastructures: A Post-Quantum Cryptography Perspective. arXiv.
10. Smart railway system for safe transportation
11. Review on cyber-physical and cyber-security system in smart grid: Standards, protocols, constraints, and recommendations10.1016/j.jnca.2022.103540 ↗
12. A survey on the current security landscape of intelligent transportation systems10.1109/ACCESS.2021.3050038 ↗
13. Multiobjective network security dynamic assessment method based on Bayesian network attack graph10.1108/IJICC-05-2023-0121 ↗
14. Cyber security of critical infrastructures in smart cities10.33712/mana.548909 ↗
15. Lightweight cryptographic techniques for automotive cybersecurity10.1155/2018/1640167 ↗
16. Security and privacy issues in intelligent transportation systems: Classification and challenges10.1109/MITS.2019.2898973 ↗
17. Intelligent transportation system security: Impact-oriented risk assessment of in-vehicle networks10.1109/MITS.2018.2889714 ↗
18. Cyber security risk assessment for SCADA and DCS networks10.1016/j.isatra.2007.04.003 ↗
19. A safety/security risk analysis approach of industrial control systems a cyber bowtie combining new version of attack tree with bowtie analysis10.1016/j.cose.2017.09.004 ↗
20. Scaling method for priorities in hierarchical structures10.1016/0022-2496(77)90033-5 ↗
21. Mitigating global warming in smart energy grids via energy supply security for critical energy infrastructure10.1504/IJGW.2021.119001 ↗
22. Yan, Z.Y., Chun, Z.J., Liu, G.J., and Zou, L.L. (2017). Innovative Technologies for Instrumentation and Control Systems, Springer. SICPNPP 201; Lecture Notes in Electrical Engineering.
23. Cybersecurity for eMaintenance in railway infrastructure: Risks and consequences10.1007/s13198-019-00778-w ↗
24. International security standards for critical oil, gas, and electricity infrastructures in smart cities: A survey study
25. Gombár, M., Vagaská, A., Korauš, A., and Račková, P. (2024). Application of Structural Equation Modelling to Cybersecurity Risk Analysis in the Era of Industry 4.0. Mathematics, 12.10.3390/math12020343 ↗
26. Avcı, I., Ozarpa, C., and Biçer, Y. (2020, January 20–24). Supply security in critical energy infrastructures for reliable energy grids. Proceedings of the 12th International Exergy, Energy and Environment Symposium (IEEES-12), Doha, Qatar.