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Dynamic real-time risk analytics of uncontrollable states in complex internet of things systems: cyber risk at the edge

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Environment Systems and Decisions 2021年第2期41卷 236-247页

作者： Radanliev, Petar De Roure, David Van Kleek, Max Ani, Uchenna Burnap, Pete Anthi, Eirini Nurse, Jason R. C. Santos, Omar Montalvo, Rafael Mantilla Maddox, La’Treall Oxford e-Research Centre Department of Engineering Sciences University of Oxford Oxford United Kingdom STEaPP Faculty of Engineering Science University College London London United Kingdom School of Computer Science and Informatics Cardiff University Cardiff United Kingdom School of Computing University of Kent Canterbury United Kingdom Cisco Research Centre Research Triangle Park Durham NC United States

The Internet of Things (IoT) triggers new types of cyber risks. Therefore, the integration of new IoT devices and services requires a self-assessment of IoT cyber security posture. By security posture this article refers to the cybersecurity strength of an organisation to predict, prevent and respond to cyberthreats. At present, there is a gap in the state of the art, because there are no self-assessment methods for quantifying IoT cyber risk posture. To address this gap, an empirical analysis is performed of 12 cyber risk assessment approaches. The results and the main findings from the analysis is presented as the current and a target risk state for IoT systems, followed by conclusions and recommendations on a transformation roadmap, describing how IoT systems can achieve the target state with a new goal-oriented dependency model. By target state, we refer to the cyber security target that matches the generic security requirements of an organisation. The research paper studies and adapts four alternatives for IoT risk assessment and identifies the goal-oriented dependency modelling as a dominant approach among the risk assessment models studied. The new goal-oriented dependency model in this article enables the assessment of uncontrollable risk states in complex IoT systems and can be used for a quantitative self-assessment of IoT cyber risk posture. © 2020, The Author(s).

关键词： Cyber risk regulations Cyber risk self-assessment Cyber risk target state Empirical analysis Functional dependency Goal-oriented approach Internet of things Micro-mort model network-based linear dependency modelling Transformation roadmap

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