Intrusion detection and prevention with neural networks

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61384399%3A31140%2F23%3A00059479" target="_blank" >RIV/61384399:31140/23:00059479 - isvavai.cz</a>

Result on the web

<a href="https://idimt.org/wp-content/uploads/2023/08/IDIMT-2023-proceedings.pdf" target="_blank" >https://idimt.org/wp-content/uploads/2023/08/IDIMT-2023-proceedings.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.35011/IDIMT-2023-73" target="_blank" >10.35011/IDIMT-2023-73</a>

Result language

angličtina

Original language name

Intrusion detection and prevention with neural networks

Original language description

Main topics of the document: cyber security; intrusion detection and prevention systems; neural networks; artificial intelligence

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

IDIMT-2023, New challenges for ICT and management, 31st Interdisciplinary informations management talks

ISBN

978-3-99151-176-2

ISSN

—

e-ISSN

—

Number of pages

8

Pages from-to

73-80

Publisher name

Trauner Verlag, Buchservice GmbH

Place of publication

Linz

Event location

Hradec Králové

Event date

Sep 6, 2023

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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