This academic article discusses the increased cybersecurity threats to smart manufacturing systems due to the integration of technologies and IT/OT convergence. It highlights the need for a proactive approach to understand potential attack modes, consequences, and countermeasures. The authors propose a comprehensive attack taxonomy that provides a structured classification scheme to understand, identify, and classify cybersecurity threat attributes. This taxonomy also considers the intent and potential alterations in system behavior due to threat events. The paper presents a classification structure for countermeasures and illustrates its application using real-world scenarios and case studies.
Publication date: 4 Jan 2024
Project Page: Not provided
Paper: https://arxiv.org/pdf/2401.01374
