Integrity Checking of Railway Interlocking Firmware

Bäckman, Ronny; Oliver, Ian; Limonta, Gabriela

doi:10.1007/978-3-030-55583-2_12

Cited by 6 publications

(2 citation statements)

References 16 publications

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“…On the other hand, anomaly-based detection incorporates machine learning, deep learning, and artificial intelligence (AI) algorithms for deep analysis of data. 127 In literature, Risk analysis showed that the majority of threats targets mainly integrity and availability of the EDC system which can lead to severe consequences Temple et al 116 Open pluggable framework (OPF) to detect abnormal behaviours and decides reaction (alarm) and a methodology for manual countermeasures Bäckman et al 123 Microcontroller (trusted platform module (TPM), also known as ISO/IEC 11889))…”

Section: Ai Based Securitymentioning

confidence: 99%

“…119,120 Others have created an educational environment where railway signallers and control role operators can explore their reactions and develop mechanisms for the successful diagnosis and recovery from cybersecurity attacks. 123 Few researchers have used Open Pluggable Framework (OPF) to detect abnormal behaviours and decides reaction (alarm) and a methodology for manual countermeasures. 122…”

Section: Cybersecurity Challenges (Approaches)mentioning

confidence: 99%

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A review on cybersecurity in railways

Kour

Patwardhan

Thaduri

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part F:

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Digitalisation is transforming the railway globally. One of the major considerations in digital transformation of any industry including the railway is the increased exposure to cyberattacks. The railway industry is vulnerable to these attacks because since the number of digital items and also number of interfaces between digital and physical components in the railway systems keep increasing. Increased number of items and interfaces require new frameworks, concepts and architectures to ensure the railway system’s resilience with respect to cybersecurity challenges, such as lack of proactiveness, lack of holistic perspective and obsolescence of safety systems exposed to current and future cyber threats landscape. To this date, there are several works carried out in the literature that studied the cybersecurity aspects and its application on railway infrastructure. However, to develop and implement an appropriate roadmap to cybersecurity in railways, there is a need of describing emerging challenges, and approaches to deal with these challenges and the possibilities and benefits of these. Hence, the objective of this paper is to provide a systematic review and outline cybersecurity emerging trends and approaches, and also to identify possible solutions by querying literature, academic and industrial, for future directions. The authors of this paper conducted separate searches through four popular databases, that is, Google Scholar, Scopus, Web of Science and IEEE explore. For the screening process, authors have used keywords with Boolean operators and database filters and identified 90 articles most relevant to the study domain. The analysis of 90 articles shows that majority of the cybersecurity studies lies within the railways are conceptual and lags in application of Artificial Intelligence (AI) based security. Like other industries, it is very important that railways should also follow latest security technologies, trends and train their workforce for cyber hygiene since railways are already in digitalization transition mode.

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Section: Ai Based Securitymentioning

confidence: 99%