Меню
Information and communication and chemical technologies
No. 1 (22) - 2024 / 2024-03-31 / Number of views: 19
STUDY OF PROBABILISTIC MODELS BASED ON THE APPLICATION OF DYNAMIC BAYESIAN NETWORKS
Authors
Keywords
Bayesian network, cybersecurity, network threat, attack
Link to DOI:
How to quote
Ziyatbekova Г. ., Sagdatova Р., Darkenbayev Д., Mailybayeva А., Abdukadyrov Д., and Beisenbayev Н. “STUDY OF PROBABILISTIC MODELS BASED ON THE APPLICATION OF DYNAMIC BAYESIAN NETWORKS”. КазУТБ, vol. 1, no. 22, Mar. 2024, doi:10.58805/kazutb.v.1.22-281.
Ziyatbekova Г. ., Sagdatova Р., Darkenbayev Д., Mailybayeva А., Abdukadyrov Д., and Beisenbayev Н. “STUDY OF PROBABILISTIC MODELS BASED ON THE APPLICATION OF DYNAMIC BAYESIAN NETWORKS”. КазУТБ, vol. 1, no. 22, Mar. 2024, doi:10.58805/kazutb.v.1.22-281.
Abstract
Abstract. This study examines various probabilistic models based on dynamic Bayesian networks to improve the ability of intrusion detection systems. The emphasis is on identifying anomalous patterns that may indicate possible network intrusions. The research involves analyzing the performance of different types of dynamic Bayesian networks in the context of detecting different categories of network attacks. The results obtained can be a valuable contribution to the field of information security, increasing the reliability of network intrusion detection systems.
Keywords: Bayesian network, cybersecurity, network threat, attack.
