Abstract
The architecture of the Bayesian_Net decision support system (DSS) is described, which was developed to analyze data on signs of anomalies and cyberattacks based on the use of Bayesian Networks (BN) for this task. The proposed DSS is distinguished by the use of object-oriented programming and has a modular architecture. The Bayesian_Net DSS is designed to solve data mining problems, in particular, to analyze weakly structured problems related to cybernetic security (CS) of informatization objects (IO), and to assess the consequences of cyber attacks in conditions of weakly structured data on signs and detected anomalies.