Epistemological Equation for Analysing Uncontrollable States in Complex Systems: Quantifying Cyber Risks from the Internet of Things

TL;DR

This paper introduces an epistemological equation to quantitatively assess uncontrollable cyber risk states in complex IoT systems, aiding self-assessment of cyber risk posture.

Contribution

It presents a novel epistemological analysis method specifically designed for quantifying uncontrollable risks in complex IoT environments.

Findings

Effective in analyzing national digital strategies

Enables quantitative self-assessment of IoT cyber risks

Validated through comparative and empirical analysis

Abstract

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 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.