Radanliev, P;
De Roure, D;
Van Kleek, M;
Ani, U;
Burnap, P;
Anthi, E;
Nurse, JRC;
... Maddox, L; + view all
(2020)
Dynamic real-time risk analytics of uncontrollable states in complex internet of things systems: cyber risk at the edge.
Environment Systems and Decisions
10.1007/s10669-020-09792-x.
(In press).
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Abstract
<jats:title>Abstract</jats:title><jats:p>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.</jats:p>
| Type: | Article |
|---|---|
| Title: | Dynamic real-time risk analytics of uncontrollable states in complex internet of things systems: cyber risk at the edge |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1007/s10669-020-09792-x |
| Publisher version: | https://doi.org/10.1007/s10669-020-09792-x |
| Language: | English |
| Additional information: | © 2020 Springer Nature Switzerland AG. This article is licensed under a Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/). |
| Keywords: | Functional dependency, Network-based linear dependency modelling, Internet of things, Micro-mort model, Goal-oriented approach, Transformation roadmap, Cyber risk regulations, Empirical analysis, Cyber risk self-assessment, Cyber risk target state |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > STEaPP |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10115776 |
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