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...

Full description

Bibliographic Details

Published in:	Automatic control and computer sciences Vol. 58; no. 8; pp. 1218 - 1225
Main Authors:	Sikarev, I. A., Tatarnikova, T. M.
Format:	Journal Article
Language:	English
Published:	Moscow Pleiades Publishing 01.12.2024 Springer Nature B.V
Subjects:	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
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!