Resilience theory plays a critical part in the practical design of modern engineered resilient systems that comprise of cyber-physical systems and components having interdependencies intended to make the whole system robust. In this paper, the percolation-based metric is utilized to quantify the communication systems' resilience. Because there is no consistent and reliable way to measure resilience, the percolation-based metric framework is developed to model the component or system failure by removing fractions of the nodes or links, causing the network to transition from functional to non-functional. The efficacy of the percolation-based metric model is demonstrated by using the power grid and maritime platform systems (legacy and future design versions) as case studies. The results from the analysis of the maritime communication and power grid systems are presented. The results indicate that percolation-based metric may be a useful approach for system engineers and designers to gain improved insight into the quantification of communication system resilience. resourcefulness 3 , and redundancy 4 (Bruneau, 2003). Since there is no consistent approach to measuring system resilience, in this paper, the focus will be on system robustness based on previous work by Cohen (2000) and Sole (2007).Creating a resilient communication system requires percolation-based metrics that can quantify resilience (robustness) to allow designers to compare various system architectures and make informed decisions. In this paper, the maritime platform communication systems (legacy 5 and future 6 versions) and power grid (Italian and Western) systems were used as case studies to show the utility of the percolation-based metrics. These platforms are usually required to withstand disruptive events, rapidly recover, and continue to function in their operational environment. Georger describes the maritime platform as systems that are "expected to be trusted and effective in a wide range of operational environment with the ability to respond to new requirements through new tactics, appropriate reconfiguration, and timely replacement" (Georger, 2014). Since there are no published resilience metrics for the maritime platform, the published datasets for the Italian power grid (ENTSOE, 2017;Sole et al., 2007 Table 1) and the Western power grid (Watts, 1998) were used for model validation and use as a baseline for comparison with the maritime platform communication system's resilience . In this paper, only the Italian power grid is used for comparison because it has the published robustness data.Percolation theory is applied in this research to understand the impact of a disruptive event on the communication system's resilience (robustness). Percolation is a statistical mechanic's model that demonstrates a critical phenomenon called phase transition, meaning that there is a fundamental parameter in the model at which the behavior of the system drastically changes from nonfunctional to functional designated as percolation threshold. The phase tra...