IDENTIFYING VULNERABLE NODES IN NETWORKED INFRASTRUCTURES: A METHODOLOGICAL APPROACH TO OPTIMAL COST ATTACKS

Networked infrastructures are vital components of modern society, providing essential services such as power distribution, transportation, and communication. However, these infrastructures are susceptible to various threats and attacks, necessitating the identification of critical nodes to enhance their resilience and security. This paper reviews a methodology for determining critical nodes in optimal cost attacks on networked infrastructures, leveraging graph theory modeling and integer-linear programming. The methodology aims to compute optimal attack strategies considering failure propagation in infrastructure networks, thereby enhancing fault tolerance and resilience. The strengths, limitations, and applicability of the methodology are discussed, along with potential challenges and future research directions.