Description: Network modeling is the process of creating a model that represents a network, whether physical or logical, with the aim of analyzing its behavior and detecting anomalies. This approach is based on the collection and analysis of data regarding interactions and relationships within the network, allowing for the identification of normal patterns and, consequently, the detection of deviations that may indicate problems or threats. The main characteristics of network modeling include the ability to visualize the network structure, identify nodes and connections, and implement machine learning algorithms that facilitate anomaly detection. This process is fundamental in the field of cybersecurity, as it allows organizations to anticipate attacks and vulnerabilities, thereby optimizing risk management. Additionally, network modeling can be applied in various areas, such as telecommunications network management, social network analysis, and industrial process optimization, highlighting its relevance in an increasingly interconnected world.
