Responsible Resilience in Cyber–Physical–Social Systems: A New Paradigm for Emergent Cyber Risk Modeling

Theresa Sobb, Nour Moustafa and Benjamin Turnbull ()
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Theresa Sobb: School of Systems and Computing, University of New South Wales, Canberra, ACT 2612, Australia
Nour Moustafa: School of Systems and Computing, University of New South Wales, Canberra, ACT 2612, Australia
Benjamin Turnbull: School of Systems and Computing, University of New South Wales, Canberra, ACT 2612, Australia

Future Internet, 2025, vol. 17, issue 7, 1-24

Abstract: As cyber systems increasingly converge with physical infrastructure and social processes, they give rise to Complex Cyber–Physical–Social Systems (C-CPSS), whose emergent behaviors pose unique risks to security and mission assurance. Traditional cyber–physical system models often fail to address the unpredictability arising from human and organizational dynamics, leaving critical gaps in how cyber risks are assessed and managed across interconnected domains. The challenge lies in building resilient systems that not only resist disruption, but also absorb, recover, and adapt—especially in the face of complex, nonlinear, and often unintentionally emergent threats. This paper introduces the concept of ‘responsible resilience’, defined as the capacity of systems to adapt to cyber risks using trustworthy, transparent agent-based models that operate within socio-technical contexts. We identify a fundamental research gap in the treatment of social complexity and emergence in existing the cyber–physical system literature. To address this, we propose the E3R modeling paradigm—a novel framework for conceptualizing Emergent, Risk-Relevant Resilience in C-CPSS. This paradigm synthesizes human-in-the-loop diagrams, agent-based Artificial Intelligence simulations, and ontology-driven representations to model the interdependencies and feedback loops driving unpredictable cyber risk propagation more effectively. Compared to conventional cyber–physical system models, E3R accounts for adaptive risks across social, cyber, and physical layers, enabling a more accurate and ethically grounded foundation for cyber defence and mission assurance. Our analysis of the literature review reveals the underrepresentation of socio-emergent risk modeling in the literature, and our results indicate that existing models—especially those in industrial and healthcare applications of cyber–physical systems—lack the generalizability and robustness necessary for complex, cross-domain environments. The E3R framework thus marks a significant step forward in understanding and mitigating emergent threats in future digital ecosystems.

Keywords: cyber security; Complex Cyber–Physical–Social Systems; C-CPSS; Cyber–Physical–Social Systems; CPSS; emergent risk modeling; mission assurance; trustworthy AI; responsible resilience (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2025
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