Network Traffic Anomalies Detection Using a Fixing Method of Multifractal Dimension Jumps in a Real-Time Mode. - Oleg I. Sheluhin; I. Yu. Lukin (Autom. Control. Comput. Sci., 2018)

Anomaly States Monitoring of Large-Scale Systems with Intellectual Analysis of System Logs. - Oleg I. Sheluhin; Andrey Osin (FRUCT, 2019)

Influence of Fractal Dimension on Network Anomalies Binary Classification Quality Using Machine Learning Methods. - Oleg I. Sheluhin; M. A. Kazhemskiy (Autom. Control. Comput. Sci., 2020)

Multiclass Classification of Anomalous States of Computer Systems by Means of Intellectual Analysis of System Journals. - Oleg I. Sheluhin; Denis V. Kostin; Mikhail G. Gorodnichev (Autom. Control. Comput. Sci., 2020)

Influence Of Fractal Dimension Statistical Charachteristics On Quality Of Network Attacks Binary Classification. - Oleg I. Sheluhin; Mikhail Kazhemskiy (FRUCT, 2021)

Forecasting of Computer Network Anomalous States Based on Sequential Pattern Analysis of "Historical Data". - Oleg I. Sheluhin; Denis V. Kostin; Mikhail V. Polkovnikov (Autom. Control. Comput. Sci., 2021)

Concept Drift Detection in Streaming Classification of Mobile Application Traffic. - Oleg I. Sheluhin; Sergey A. Sekretarev (Autom. Control. Comput. Sci., 2021)

New Algorithm for Predicting the States of a Computer Network Using Multivalued Dependencies. - Oleg I. Sheluhin; Andrey Osin; D. I. Rakovsky (Autom. Control. Comput. Sci., 2023)