AsIf: Asset Interface Analysis of Industrial Automation Devices

• URL: http://arxiv.org/abs/2409.17593v1
• Date: Thu, 26 Sep 2024 07:19:15 GMT
• Title: AsIf: Asset Interface Analysis of Industrial Automation Devices
• Authors: Thomas Rosenstatter, Christian Schäfer, Olaf Saßnick, Stefan Huber,
• Abstract summary: Industrial control systems are increasingly adopting IT solutions, including communication standards and protocols. As these systems become more decentralized and interconnected, a critical need for enhanced security measures arises. Threat modeling is traditionally performed in structured brainstorming sessions involving domain and security experts. We propose a method for the analysis of assets in industrial systems, with special focus on physical threats.
• Score: 1.3216177247621483
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: As Industry 4.0 and the Industrial Internet of Things continue to advance, industrial control systems are increasingly adopting IT solutions, including communication standards and protocols. As these systems become more decentralized and interconnected, a critical need for enhanced security measures arises. Threat modeling is traditionally performed in structured brainstorming sessions involving domain and security experts. Such sessions, however, often fail to provide an exhaustive identification of assets and interfaces due to the lack of a systematic approach. This is a major issue, as it leads to poor threat modeling, resulting in insufficient mitigation strategies and, lastly, a flawed security architecture. We propose a method for the analysis of assets in industrial systems, with special focus on physical threats. Inspired by the ISO/OSI reference model, a systematic approach is introduced to help identify and classify asset interfaces. This results in an enriched system model of the asset, offering a comprehensive overview visually represented as an interface tree, thereby laying the foundation for subsequent threat modeling steps. To demonstrate the proposed method, the results of its application to a programmable logic controller (PLC) are presented. In support of this, a study involving a group of 12 security experts was conducted. Additionally, the study offers valuable insights into the experts' general perspectives and workflows on threat modeling.

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