Cybersecurity in Intelligent Railway Systems:Taxonomy, Research Trends, Challenges, and Future Directions

The rapid digitalisation unfolding in railway systems poses new cybersecurity concerns, thereby requiring solutions that will take the necessary steps to defend against tangible emerging threats. This study aims to systematically review the current cybersecurity research landscape within railway systems. Using a systematic protocol, we comprehensively searched five key online databases: IEEE Xplore, Web of Science, Scopus, ACM, and ScienceDirect. These online databases are recognised for their overall broad coverage and the exhibition of relevance to this study's purpose. Our systematic selection process, facilitated through a predetermined set of inclusion and exclusion criteria, resulted in 114 relevant articles. Among them, 51.8% of the articles reviewed also addressed Control System Security Solutions, while 14% of the articles examined Network Security Solutions, and 12.3% addressed Data Protection and Privacy Solutions. 7% of the articles studied Awareness and Training Solutions, while the remaining 14.9% adopted other approaches. Results identified several significant gaps and challenges relating to railway cybersecurity research, which includes issues relating to embracing critical technologies, confirming data privacy, and the need for ongoing education and training of railway workers. Additionally, the study indicated a lack of standardised performance measures and use of testing datasets, which will impact confidence in measuring the effectiveness of cybersecurity solutions. Ultimately, this research paper advances understanding and contributions to the current railway cybersecurity research landscape, while providing critical recommendations for future research. Efforts towards enhancing international collaboration, adopting emergent technologies such as AI and Blockchain and prioritising education and awareness initiatives are some of the most critical emerging next steps related to cybersecurity and resilience of railway systems.

Authors

Publication Details

Journal
Huddersfield Research Portal (University of Huddersfield)
Published
2026-01-22
Primary Topic
Railway Systems and Energy Efficiency
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Cybersecurity in Intelligent Railway Systems:Taxonomy, Research Trends, Challenges, and Future Directions

Mohammed Al-Mhiqani, Mays Abukeshek, Saad Khan, George Bearfield et al.
Huddersfield Research Portal (University of Huddersfield)
Railway Systems and Energy Efficiency
article

Cybersecurity in Intelligent Railway Systems:Taxonomy, Research Trends, Challenges, and Future Directions

Mohammed Al-Mhiqani, Mays Abukeshek, Saad Khan, George Bearfield, Simon; id_orcid 0000-0002-1747-9914 Parkinson
article en

Abstract

The rapid digitalisation unfolding in railway systems poses new cybersecurity concerns, thereby requiring solutions that will take the necessary steps to defend against tangible emerging threats. This study aims to systematically review the current cybersecurity research landscape within railway systems. Using a systematic protocol, we comprehensively searched five key online databases: IEEE Xplore, Web of Science, Scopus, ACM, and ScienceDirect. These online databases are recognised for their overall broad coverage and the exhibition of relevance to this study's purpose. Our systematic selection process, facilitated through a predetermined set of inclusion and exclusion criteria, resulted in 114 relevant articles. Among them, 51.8% of the articles reviewed also addressed Control System Security Solutions, while 14% of the articles examined Network Security Solutions, and 12.3% addressed Data Protection and Privacy Solutions. 7% of the articles studied Awareness and Training Solutions, while the remaining 14.9% adopted other approaches. Results identified several significant gaps and challenges relating to railway cybersecurity research, which includes issues relating to embracing critical technologies, confirming data privacy, and the need for ongoing education and training of railway workers. Additionally, the study indicated a lack of standardised performance measures and use of testing datasets, which will impact confidence in measuring the effectiveness of cybersecurity solutions. Ultimately, this research paper advances understanding and contributions to the current railway cybersecurity research landscape, while providing critical recommendations for future research. Efforts towards enhancing international collaboration, adopting emergent technologies such as AI and Blockchain and prioritising education and awareness initiatives are some of the most critical emerging next steps related to cybersecurity and resilience of railway systems.

Huddersfield Research Portal (University of Huddersfield)
Openalex Percentile: Top 77%
Railway Systems and Energy Efficiency
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.