Supporting Construction Cybersecurity Decision-Making Through a Crowdsourcing Platform

DOI: 10.35490/EC3.2026.257
Abstract: Construction is increasingly digitalized, and organizations are integrating operational technology, such as robots, into site operations, introducing cyber risks. This paper presents a web-based crowdsourcing platform to collect and analyze human knowledge and to provide recommendations to guide cybersecurity decision-making in the construction sector. Collected insights on risks and mitigations via open-ended questions are converted into recommendations using semantic segmentation, topic modeling, and large language models. The platform was implemented in collaboration with a UAE-based contractor on a lift-assist robot. The resulting recommendations were mapped to the foundational requirements of ISA/IEC 62443, showing alignment with six of the seven requirements.
Keywords: Construction 4.0, construction robotics, Crowdsourcing, Cybersecurity, topic modeling
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