Epistemological Equation for Analysing Uncontrollable States in Complex Systems: Quantifying Cyber Risks from the Internet of Things
Petar Radanliev (),
David Roure,
Pete Burnap and
Omar Santos
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David Roure: University of Oxford
Pete Burnap: Cardiff University
Omar Santos: Cisco Research Centre, Research Triangle Park
The Review of Socionetwork Strategies, 2021, vol. 15, issue 2, 381-411
Abstract:
Abstract The Internet-of-Things (IoT) triggers data protection questions and new types of cyber risks. Cyber risk regulations for the IoT, however, are still in their infancy. This is concerning, because companies integrating IoT devices and services need to perform a self-assessment of its IoT cyber security posture. At present, there are no self-assessment methods for quantifying IoT cyber risk posture. It is considered that IoT represent a complex system with too many uncontrollable risk states for quantitative risk assessment. To enable quantitative risk assessment of uncontrollable risk states in complex and coupled IoT systems, a new epistemological equation is designed and tested though comparative and empirical analysis. The comparative analysis is conducted on national digital strategies, followed by an empirical analysis of cyber risk assessment approaches. The results from the analysis present the current and a target state for IoT systems, followed by a transformation roadmap, describing how IoT systems can achieve the target state with a new epistemological analysis model. The new epistemological analysis approach enables the assessment of uncontrollable risk states in complex IoT systems—which begin to resemble artificial intelligence—and can be used for a quantitative self-assessment of IoT cyber risk posture.
Keywords: Epistemological analysis; Internet of Things; Risk transformation roadmap; Cyber risk regulations; Empirical analysis; Cyber risk self-assessment; Cyber risk target state (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (3)
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DOI: 10.1007/s12626-021-00086-5
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