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Mohamad, M., Avula, R. R., Folkesson, P., Kleberger, P., Mirzai, A., Skoglund, M. & Damschen, M. (2024). Cybersecurity Pathways Towards CE-Certified Autonomous Forestry Machines. In: Proceedings - 2024 54th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops, DSN-W 2024: . Paper presented at 54th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops, DSN-W 2024. Brisbane, Australia. 24 June 2024through 27 June 2024 (pp. 98-105).
Open this publication in new window or tab >>Cybersecurity Pathways Towards CE-Certified Autonomous Forestry Machines
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2024 (English)In: Proceedings - 2024 54th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops, DSN-W 2024, 2024, p. 98-105Conference paper, Published paper (Other academic)
Abstract [en]

he increased importance of cybersecurity in autonomous machinery is becoming evident in the forestry domain. Forestry worksites are becoming more complex with the involvement of multiple systems and system of systems. Hence, there is a need to investigate how to address cybersecurity challenges for autonomous systems of systems in the forestry domain. Using a literature review and adapting standards from similar domains, as well as collaborative sessions with domain experts, we identify challenges towards CE-certified autonomous forestry machines focusing on cybersecurity and safety. Furthermore, we discuss the relationship between safety and cybersecurity risk assessment and their relation to AI, highlighting the need for a holistic methodology for their assurance.

National Category
Mechanical Engineering
Identifiers
urn:nbn:se:ri:diva-74609 (URN)10.1109/DSN-W60302.2024.00030 (DOI)
Conference
54th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops, DSN-W 2024. Brisbane, Australia. 24 June 2024through 27 June 2024
Note

AGRARSENSE is supported by the Chips JU and its members, including the top up funding by Sweden, Czechia, Finland, Ireland, Italy, Latvia, Netherlands, Norway, Poland and Spain (Grant Agreement No.101095835). T

Available from: 2024-07-21 Created: 2024-07-21 Last updated: 2024-10-29Bibliographically approved
Mirzai, A., Avula, R. R. & Damschen, M. (2024). Cybersecurity Risk Assessment of Virtually Coupled Train Sets. xx
Open this publication in new window or tab >>Cybersecurity Risk Assessment of Virtually Coupled Train Sets
2024 (English)In: xxArticle in journal (Refereed) Epub ahead of print
Abstract [en]

In recent years, the increasing digitalisation and interconnectedness of railway systems have underscored the critical importance of robust cybersecurity measures. Notable cybersecurity incidents, such as the sabotage of more than 20 trains in Poland via simple "radio-stop" commands using low-cost equipment, highlight the vulnerability of these complex systems to disruptions that can have far-reaching consequences. Moreover, the evolving threat landscape, characterised by increasingly sophisticated ransomware and distributed denial-ofservice (DDoS) attacks, poses ongoing challenges that demand continuous vigilance and adaptation. The regulatory response, including stringent EU directives such as the Cybersecurity Act and the NIS 2 Directive, reflects a concerted effort to elevate the cybersecurity standards that impact the transportation sector. The objective of this work is to provide a cybersecurity risk assessment of the Virtually Coupled Train Set (VCTS) design that is developed within the R2DATO EU Rail project. This work leverages the methodologies developed under the Shift2Rail (S2R) initiative, particularly the X2Rail-5 project. The assessment aims to identify potential vulnerabilities and assess the impact of potential threats. Risk and target security level evaluations for VCTS are presented for identifying applicable security requirements from IEC 62443. By applying a risk assessment tool based on IEC 62443-3-2 and CLC/TS 50701 towards regulatory compliance measures, this work seeks to fortify the cybersecurity of railway systems, ensuring safer and more reliable operations in an increasingly digital landscape.

National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:ri:diva-76277 (URN)
Available from: 2024-12-16 Created: 2024-12-16 Last updated: 2025-02-21Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0001-9672-2689

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