The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Cybersecurity in Smart Railways: Exploring risks, vulnerabilities and mitigation in the data communication services
Open accessAbstract
Smart trains and railways are gaining increasing significance in major global cities as they offer solutions to issues like traffic congestion and environmental pollution. Technological advancements have facilitated the transition from conventional systems to more advanced, highly efficient, and personalized railway systems . However, the complexity of these systems presents challenges, especially in terms of reliability, interoperability security, and privacy. With the potential vulnerability of railway systems to cyberattacks, it becomes crucial for these emerging smart systems to establish stringent privacy and security requirements. Cybersecurity is a key requirement to enable railways to deploy and take advantage of the full extent of a connected, digital environment. This research explores the cybersecurity landscape within Smart Railways aiming to identify potential threats and associated risks on these systems, focusing on analyzing the current literature related to Smart Railways and cybersecurity aspects, then listing key technologies used by smart systems, and finally proposing an illustration of use cases application to call attention to the impact of attacks, providing then as a set of good practices that must be followed to reduce risks and to the safeguard the operability for Rail Transportation. The research findings suggest that over the last few years, there has been a significant increase in research activity in this area, indicating a growing recognition o…
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“Within the European Union, the NIS2 Directive (Directive (EU) 2022/2555) defines new obligations for operators of essential services, including railway transport [5,6,7,8,9,10].”
From Sensor-Based Cyber Risk Management in Railway Infrastructure Under the NIS2 Directive (2025) · cites this paper as [5]
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“Cyber threats affecting railway sensors and IoT systems can be grouped into three main categories [1,5,14]:Data integrity attacks, such as spoofing, injection, or tampering with measurement values.”
From Sensor-Based Cyber Risk Management in Railway Infrastructure Under the NIS2 Directive (2025) · cites this paper as [5]
Citations
Cites
LoRaWAN security survey: Issues, threats and possible mitigation techniques
Noura, H., Hatoum, T., Salman, O., Yaacoub, J.-P., & Chehab, A. (2020) · Internet of Things · doi:10.1016/j.iot.2020.100303 · Cited by 137
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Research works printed but not linked: 27
- 2021, Cybersecurity in railways conference: key takeaways, ENISA
- Kour, 2023, A review on cybersecurity in railways, Proc Inst Mech Eng F J Rail Rapid Transit, 237, 1, 10.1177/09544097221089389 · DOI
- Pivoto, 2018, Scientific development of smart farming technologies and their application in Brazil, Information Processing in Agriculture, 5, 21, 10.1016/j.inpa.2017.12.002 · DOI
- Zhang, 2018, Smart home: architecture, technologies and systems, Procedia Comput Sci, 131, 975
- Dia, 2019, Smart tech systems cut congestion for a fraction of what new roads cost, The Conversation
- Luh, 2020, Cybersecurity in science and medicine: threats and challenges, Trends Biotechnol, 38, 825, 10.1016/j.tibtech.2020.02.010 · DOI
- Moore, 2023, Journal of cybersecurity, Journal of Cybersecurity, 9
- Vaczi, 2019, A threat for the trains: ransomware as a new risk, Interdiscip Descr Complex Syst, 17, 1, 10.7906/indecs.17.1.1 · DOI
- Wu, 2021, Research and application of intelligent monitoring system platform for safety risk and risk investigation in urban rail transit engineering construction, Adv Civ Eng, 2021
- Figueroa-Lorenzo, 2021, Alarm collector in smart train based on ethereum blockchain events-log, IEEE Internet Things J, 8, 13306, 10.1109/JIOT.2021.3065631 · DOI
- Liu, 2022, Edge intelligence for smart metro systems: architecture and enabling technologies, IEEE Network, 36, 136, 10.1109/MNET.211.2100302 · DOI
- Kour, 2023, A review on cybersecurity in railways, Proc IMechE Part F: J Rail and Rapid Transit, 237, 3
- Soderi, 2023, Railway cyber-security in the era of interconnected systems: a survey, IEEE Trans Intell Transport Syst, 24, 6764, 10.1109/TITS.2023.3254442 · DOI
- Thaduri, 2019, Cybersecurity for emaintenance in railway infrastructure: risks and consequences, International Journal of Systems Assurance Engineering and Management, 10, 149, 10.1007/s13198-019-00778-w · DOI
- 2017, LoRaWAN security whitepaper, technical report, LoRa Alliance
- Noura, 2020, Lorawan security survey: issues, threats and possible mitigation techniques, Internet of Things, 12, 10.1016/j.iot.2020.100303 · DOI · Paper page
- 2021, Group I.-G.P. 5G network technology architecture whitepaper, Technical Report
- Dangi, 2022, Study and investigation on 5g technology: a systematic review, Sensors, 22
- Hessel, 2022, Lorawan security: an evolvable survey on vulnerabilities, attacks and their systematic mitigation, ACM Trans Sens Netw, 18, 70:1, 10.1145/3561973 · DOI
- Ruotsalainen, 2022, Lorawan physical layer-based attacks and countermeasures, a review, Sensors, 22, 3127, 10.3390/s22093127 · DOI
- Amin, 2016, A comprehensive taxonomy and analysis of ieee 802.15.4 attacks, Journal of Electrical and Computer Engineering, 2016, 1, 10.1155/2016/7165952 · DOI
- Blumenfeld, 2019, Developing a new technical strategy for rail infrastructure in low-income countries in sub-saharan africa and south asia, Sustainability, 11, 4319, 10.3390/su11164319 · DOI
- Gupta, 2023, Real-time traffic control and monitoring, e-Prime - advances in Electrical Engineering, Electronics and Energy, 5
- Vadivel, 2023, Smart transportation systems: iot-connected wireless sensor networks for traffic congestion management, IJASIS, 9, 40, 10.29284/IJASIS.9.1.2023.40-49 · DOI
- Yu, 2023, Security of railway control systems: a survey, research issues and challenges, High-speed Railway, 1, 6, 10.1016/j.hspr.2022.12.001 · DOI
- Sun, 2017, Physical layer security with its applications in 5g networks: a review, China Communications, 14, 1, 10.1109/CC.2017.8246328 · DOI
- Rodrigues, 2024, Railroad infrastructure investment and economic performance in Portugal: an industry-specific analysis, Journal of Infrastructure, Policy and Development, 8, 2942
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Sensor-Based Cyber Risk Management in Railway Infrastructure Under the NIS2 Directive
Wachnik, R., Chruzik, K., & Pochopień, B. (2025) · Sensors · doi:10.3390/s25237384 · Cited by 4
Metadata
- Authors
- Fernandes, T., Magalhães, J. P., & Alves, W.
- Affiliations
- Universidade Técnica do Porto (PT)
- Centro de Inovação e Investigação em Ciências Empresariais e Sistemas de Informação (PT)
- Corresponding author
- Magalhães, João Paulo
- Venue
- Green Energy and Intelligent Transportation
- Publisher
- Elsevier BV
- Published
- 2025-08
- Volume
- 4
- Issue
- 4
- Pages
- 100305
- ISSN
- 2773-1537 (ISSN-L)
- OpenAlex
- W4409151487
- Cited by
- 23
- References
- 1
- Citations by year
- 2026: 19 · 2025: 4
- FWCI
- 6.39
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Green Energy and Intelligent Transportation (publishedVersion, cc-by-nc-nd)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Foundation for Science and Technology (UIDB/04728/2020)
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Transportation Systems and Safety
- Physical Sciences › Computer Science › Information Systems › Information and Cyber Security
- Physical Sciences › Computer Science › Computer Networks and Communications › Cybersecurity and Information Systems
- Keywords
- smart railways, railway cybersecurity, cyberattacks, vulnerability (computer security), data communication services, privacy, risk mitigation, best practices, human factors in cybersecurity
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