Detecting Attacks Using Artificial Neural Networks

The developed neural network attack detection algorithm, whose peculiarity lies in the possibility of launching two parallel processes, is described: searching for the optimal model of an artificial neural network and normalization of the training sample data. It is shown that the artificial neural...

Celý popis

Podrobná bibliografia

Vydané v:	Automatic control and computer sciences Ročník 58; číslo 8; s. 1218 - 1225
Hlavní autori:	Sikarev, I. A., Tatarnikova, T. M.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Moscow Pleiades Publishing 01.12.2024 Springer Nature B.V
Predmet:	Algorithms Artificial neural networks Computer Science Control Structures and Microprogramming Datasets Neural networks Software Special libraries artificial neural network loss function intrusion detection system training classification dataset architecture optimization
ISSN:	0146-4116, 1558-108X
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!