Algorithm for Online Detection of Traffic Anomalies in High-Speed Enterprise Multiservice Communication Networks

A real-time adaptive algorithm for detecting traffic anomalies in high-speed enterprise multiservice communication networks is proposed. The main results of its study are presented.

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Bibliographic Details
Published in:	Automatic control and computer sciences Vol. 55; no. 8; pp. 1068 - 1079
Main Authors:	Ageev, S. A., Ageeva, N. S., Karetnikov, V. V., Privalov, A. A., Sikarev, I. A.
Format:	Journal Article
Language:	English
Published:	Moscow Pleiades Publishing 01-12-2021 Springer Nature B.V
Subjects:	Adaptive algorithms Anomalies Communication networks Communications networks Computer Science Control Structures and Microprogramming High speed Traffic speed Pareto optimal conditionally nonlinear filtering fuzzy knowledge base pseudo-gradient algorithm Takagi–Sugeno fuzzy logical inference fuzzy rule base
Online Access:	Get full text
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Description
Summary:	A real-time adaptive algorithm for detecting traffic anomalies in high-speed enterprise multiservice communication networks is proposed. The main results of its study are presented.
ISSN:	0146-4116 1558-108X
DOI:	10.3103/S0146411621080022