Security Framework for Identifying threats in Smart Manufacturing Systems Using STRIDE Approach

• Published in: 2022 2nd International Conference on Consumer Electronics and Computer Engineering (ICCECE) pp. 605 - 612
• Main Authors: AbuEmera, Eman A., ElZouka, Hesham A., Saad, Amani A.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 14.01.2022
• Subjects: component; Computational modeling; Computer crime; Data acquisition; Data models; Estimation; Industrial internet of things (IIOT); Internet of Things; smart manufacturing systems security; STRIDE detection; supervisory control and data acquisition (SCADA); threat modeling
• DOI: 10.1109/ICCECE54139.2022.9712770

Cyber security is still the main argument in any system development lifecycle that needs more concern. There are still numerous challenges associated with conducting a threat modeling approach for smart manufacturing systems. One of these challenges is the lack of a threat database based on the expertise of highly skilled researchers in this field. Hence this study attempts to address this gap by developing a components catalog and a rule-based threat database to address potential security threats in smart manufacturing systems saving time and effort. Specifically, it performs STRIDE-based threat modeling against a smart factory use case using Microsoft Threat Modelling Tool. The threat evaluation process is conducted with this research to determine the severity of threats and give a preliminary estimation of the overall system's risk.