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On In-Vehicle Network Security Testing Methodologies in Construction Machinery
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems. Volvo Construction Equipment, Eskilstuna, Sweden.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-1364-8127
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0001-6132-7945
2022 (English)In: IEEE International Conference on Emerging Technologies and Factory Automation, ETFA, Institute of Electrical and Electronics Engineers Inc. , 2022, Vol. 2022-SeptemberConference paper, Published paper (Refereed)
Abstract [en]

In construction machinery, connectivity delivers higher advantages in terms of higher productivity, lower costs, and most importantly safer work environment. As the machinery grows more dependent on internet-connected technologies, data security and product cybersecurity become more critical than ever. These machines have more cyber risks compared to other automotive segments since there are more complexities in software, larger after-market options, use more standardized SAE J1939 protocol, and connectivity through long-distance wireless communication channels (LTE interfaces for fleet management systems). Construction machinery also operates throughout the day, which means connected and monitored endlessly. Till today, construction machinery manufacturers are investigating the product cybersecurity challenges in threat monitoring, security testing, and establishing security governance and policies. There are limited security testing methodologies on SAE J1939 CAN protocols. There are several testing frameworks proposed for fuzz testing CAN networks according to [1]. This paper proposes security testing methods (Fuzzing, Pen testing) for in-vehicle communication protocols in construction machinery.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2022. Vol. 2022-September
Keywords [en]
construction machinery, Fuzzing, pen testing, SAE J1939, security testing, Construction equipment, Cybersecurity, Fleet operations, Machinery, Network security, Cyber security, High productivity, In-vehicle network securities, Low-costs, Testing methodology, Testing
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-60949DOI: 10.1109/ETFA52439.2022.9921551ISI: 000934103900111Scopus ID: 2-s2.0-85141440122ISBN: 9781665499965 (print)OAI: oai:DiVA.org:mdh-60949DiVA, id: diva2:1712708
Conference
27th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2022, Stuttgart, 6-9 September 2022
Available from: 2022-11-22 Created: 2022-11-22 Last updated: 2023-03-22Bibliographically approved

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Hariharan, SheelaPapadopoulos, AlessandroNolte, Thomas

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