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Table 5. Glossary : Metrics for resilience
Notion Ref. Title
Quantitative deter. [11] Resilience and Stability of Ecological Systems
[4] Micro incident analysis framework to assess safety and
resilience in the operation of safe critical systems:
A case study in a nuclear power plant
[34] Resilient industrial control system (RICS): Concepts, formulation, metrics, and insights
[26] A resilience assessment framework for infrastructure and economic systems:
Quantitative and qualitative resilience analysis of petrochemical supply chains to a hurricane
[42] Modelling and analysis of network resilience
[15] A metric and frameworks for resilience analysis of engineered and infrastructure systems
[39] Resilient control systems Practical metrics basis for defining mission impact
[27] Systems Resilience for Multihazard Environments:
Definition, Metrics, and Valuation for Decision Making
[38] Availability-based engineering resilience metric and its corresponding evaluation methodology
[40] Toward a Consensus on the Definition and Taxonomy of Power System Resilience
[24] Cyber-Physical Resilience: Definition and Assessment Metric
[41] Cyber resilience protection for industrial internet of things:
A software-defined networking approach
Semi-quantitative A new method for quantitative assessment of resilience engineering by PCA and NT approach:
[43] A case study in a process industry
[18] Properties of resilient organizations: an initial view
Quantative prob. [11] Resilience and Stability of Ecological Systems
Event specific [44] On the Complex Definition of Risk: A Systems-Based Approach
[28] On the Definition of Resilience in Systems
[34] Resilient industrial control system (RICS): Concepts, formulation, metrics, and insights
[42] Modelling and Analysis of Network Resilience
[15] A metric and frameworks for resilience analysis of engineered and infrastructure systems
[33] A proposed resilience framework
[45] A New Resilience Taxonomy
[41] Cyber resilience protection for industrial internet of things: A software-defined networking approach
[46] Resilience modeling of engineering systems using dynamic objectoriented Bayesian network approach
Fuzzy models [47] Fuzzy sets
[52] A Comparison of Commercial and Military Computer Security Policies
[53] Automated support for external consistency
[48] Fuzzy Architecture Assessment for Critical Infrastructure Resilience
[49] An assessment of organizational resilience potential in SMEs of the process industry, a fuzzy approach
A new method for quantitative assessment of resilience engineering by PCA and NT approach
[43] A case study in a process industry
[15] A metric and frameworks for resilience analysis of engineered and infrastructure systems
Assessment of resilience engineering factors in high-risk environments by fuzzy cognitive maps
[50] A petrochemical plant
[18] Properties of resilient organizations: an initial view
[51] Towards the Evaluation of End-to-End Resilience Through External Consistency
Frameworks [54] At Risk: Natural Hazards, People’s Vulnerability and Disasters
Resilience and survivability in communication networks:
[21] Strategies, principles, and survey of disciplines
[64] A Framework for Computing Topological Network Robustness
[42] Modelling and Analysis of Network Resilience
[55] Measurable Resilience for Actionable Policy
[56] Resilience metrics for cyber systems
[25] On the definition of cyber-physical resilience in power systems
[2] Disaster-Resilient Communication Networks: Principles and Best Practices
Adversarial events Resilience and survivability in communication networks:
[21] Strategies, principles, and survey of disciplines
[42] Modelling and analysis of network resilience
[48] Fuzzy Architecture Assessment for Critical Infrastructure Resilience
[49] An assessment of organizational resilience potential in SMEs of the process industry, a fuzzy approach
[45] A New Resilience Taxonomy
[2] Disaster-Resilient Communication Networks: Principles and Best Practices
[51] Towards the Evaluation of End-to-End Resilience Through External Consistency
[24] Cyber-Physical Resilience: Definition and Assessment Metric

Designing resilient systems is a challenge, especially in the case of CPS used in critical infrastructures. As
described in Section 5, intrinsic properties of a CPS can be used to include, for example, physical components,
making the system resilient by design. These components can be considered as protective layers for the CPS.
One of the actual challenges consists in improving a CPS resilience by diversifying its incorporated hardware,
or software components.