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Epistemological Equation for Analysing Uncontrollable States in Complex Systems: Quantifying Cyber Risks from the
Petar Radanliev1, David De Roure1, Pete Burnap2
1Department of Engineering Sciences, Oxford e-Research Centre, University of Oxford, Oxford, England, UK.
The Review of Socionetwork Strategies
|May 4, 2022
Summary
New methods enable quantitative self-assessment of Internet-of-Things (IoT) cyber risk posture. This research addresses the challenge of quantifying uncontrollable risk states in complex IoT systems, crucial for cybersecurity.
Area of Science:
- Cybersecurity
- Risk Management
- Information Systems
Background:
- The Internet-of-Things (IoT) presents significant data protection challenges and novel cyber risks.
- Current cyber risk regulations for IoT are underdeveloped, necessitating robust self-assessment tools for organizations.
- Existing methods fail to quantify the cyber risk posture of complex IoT systems due to uncontrollable risk states.
Purpose of the Study:
- To develop a novel method for the quantitative self-assessment of IoT cyber risk posture.
- To enable the assessment of uncontrollable risk states within complex and coupled IoT systems.
- To provide a framework for companies to understand and improve their IoT cybersecurity.
Main Methods:
- Designed and tested a new epistemological equation to address uncontrollable risk states in IoT.
- Conducted comparative analysis of national digital strategies related to IoT security.
- Performed empirical analysis of existing cyber risk assessment approaches for IoT systems.
Main Results:
- Identified the current and target states for IoT systems' cybersecurity posture.
- Developed a transformation roadmap for achieving improved IoT system security.
- Demonstrated the efficacy of the new epistemological analysis model in assessing complex IoT risks.
Conclusions:
- The new epistemological analysis approach facilitates quantitative self-assessment of IoT cyber risk posture.
- This method is applicable to complex IoT systems, including those integrating artificial intelligence.
- It provides a crucial tool for organizations to manage evolving cyber risks in the IoT landscape.
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