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Using neural networks in intrusion detection systems

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28140%2F08%3A63507092" target="_blank" >RIV/70883521:28140/08:63507092 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Using neural networks in intrusion detection systems

  • Original language description

    This paper sets out the possibility of deployment of neural networks in the most widespread open source IDS program Snort. The principle is to capture packets of network traffic and then to use neurla network to increase the likelihood of identifying attack in the stream by dynamically identifying the operating systems on the individual protected hosts. Thanks to the use of neural network this system should be able to overcome some of the evasive techniques the attackers use.

  • Czech name

    Použití neuronových sítí v rušení detekovacích systémů

  • Czech description

    Tento článek nastavuje možnost nasazení neuronových sítí v nejrozšířenějším open source IDS programu Snort. Principem je odchytávat packety na síti a pak použít neuronové sítě ke zvětšení pravděpodobnosti identifickace ataku v dynamických řetězcích.

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA102%2F06%2F1132" target="_blank" >GA102/06/1132: Softcomputing in Control</a><br>

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2008

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    MENDEL 2008 14th International Coference on Soft Computing

  • ISBN

    978-80-214-3675-6

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

  • Publisher name

    Vysoké učení technické v Brně, Fakulta strojního inženýrství

  • Place of publication

    Brno

  • Event location

    Brno

  • Event date

    Jun 20, 2008

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article