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The Internet of Things (IoT) triggers new types of cyber risks. Therefore,the integration of new IoT devices and services requires a self-assessment ofIoT cyber security posture. By security posture this article refers to thecybersecurity strength of an organisation to predict, prevent and respond tocyberthreats. At present, there is a gap in the state of the art, because thereare no self-assessment methods for quantifying IoT cyber risk posture. Toaddress this gap, an empirical analysis is performed of 12 cyber riskassessment approaches. The results and the main findings from the analysis ispresented as the current and a target risk state for IoT systems, followed byconclusions and recommendations on a transformation roadmap, describing how IoTsystems 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 genericsecurity requirements of an organisation. The research paper studies and adaptsfour alternatives for IoT risk assessment and identifies the goal-orienteddependency modelling as a dominant approach among the risk assessment modelsstudied. The new goal-oriented dependency model in this article enables theassessment of uncontrollable risk states in complex IoT systems and can be usedfor a quantitative self-assessment of IoT cyber risk posture.

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