Tensor model for describing critical infrastructure

This paper examines a tensor-based model for describing critical infrastructure (CI), enabling multidimensional analysis of system components, their attributes, interactions, and associated risks. The proposed model employs tensors to represent component attributes, functional interactions, and threats, providing a systematic approach to analyze and predict infrastructure behavior. Special emphasis is placed on mathematical methods such as tensor decompositions and risk optimization to identify system vulnerabilities and develop protection strategies. Mathematical expressions are provided to detail the proposed model and its application in enhancing the resilience and operational efficiency of CI.