## 1 Introduction
Policymakers and urban planners should prioritize initiatives that not only boost the city's infrastructures but also enhance the general living circumstances and happiness of its population by recognizing the influence of urban resilience on residents' well-being. Numerous smart city initiatives and projects have emerged in areas such as energy efficiency, transportation management, environmental monitoring, and asset management [5; 7]. Unique trends are observable in deploying smart water infrastructure and utilizing wireless sensors and actuators connected to nearby water distribution networks to monitor various operations, including pressure, leaks, ruptures, water quality, traffic management, and public transportation within smart transportation networks [8]. It is important to note that these new smart infrastructures are increasingly interdependent [9], particularly the integration of electrical power and ICT. This interdependence creates various vulnerabilities to both external and internal forces. External forces encompass natural disasters and extreme weather events (e.g., hurricanes, tornadoes, wind storms, ice storms), while internal forces include failures resulting from component malfunctions, system breakdowns, and human errors. This type of interdependence between smart infrastructures is referred to as \"Smart Interdependent Critical Infrastructures (Smart ICIs) [10]\". In this context, the primary focus of this paper is to elucidate the concept of resilience within the realm of Smart ICIs and to showcase the diverse resilience metrics and methodologies that researchers employ to evaluate the resilience of Smart ICIs. The idea of resilience is examined in this research in relation to Smart Interdependent Critical Infrastructures (Smart ICIs) [11], which are becoming more and more crucial to the operation of smart cities. These infrastructures are more vulnerable to different internal and external pressures, including natural disasters, component failures, and human error, as they become more linked. The study analyzes various resilience metrics and approaches that academics use to evaluate and improve the resilience of Smart ICIs in order to address these issues. The paper seeks to offer insights into the most efficient methods for enhancing the robustness and adaptability of these crucial urban systems, assuring their continued operation and ability to survive interruptions. These approaches cover a wide range of methodologies, such as simulation, network analysis, mathematical modeling, and empirical evaluations. The picture emphasizes the benefits and drawbacks of each approach, providing helpful insights into how well-suited each is to various types of Smart ICIs and particular resilience concerns. This thorough knowledge of the state of the art in resilience measurement can aid practitioners and decision makers in creating more effective plans for boosting the resilience of their urban systems, ensuring the sustainable growth of smart cities in a society that is becoming more interconnected. The trend in measuring the resilience of intelligent infrastructure is toward more integrated and holistic approaches. This transition is primarily motivated by the realization that smart infrastructures are interdependent systems in which a disruption in one component can have cascading effects [12] throughout the entire network. Consequently, the traditional, isolated method of measuring resilience is being supplanted with methods that can capture these interdependencies. In addition, there is a greater emphasis on dynamic resilience metrics that take into consideration the adaptability of these systems in response to changing conditions and threats [13]. Data analytics and artificial intelligence advancements play a crucial role in this trend, enabling more sophisticated models that can process large quantities of data and generate more precise and actionable insights [14].