Article · Bulletin of the National Engineering Academy of the Republic of Kazakhstan · March 15, 2022

Decision support system for assessing the consequences of cyber attacks

B.S. Akhmetov, Valeriy Lakhno, Moldir Ydyryshbayeva, A. Abuova, Sh. N. Sagyndykova

Open via DOI PDFDOI 10.47533/2020.1606-146x.136

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.

Network Security and Intrusion DetectionInformation and Cyber SecurityCybersecurity and Information Systemsdecision support systemBayesian networkscybersecurity

Decision support system for assessing the consequences of cyber attacks

Abstract

More by Valerii Lakhno