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Application of Artificial Intelligence on Classification of Attacks in IP Telephony

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F63839172%3A_____%2F14%3A10130424" target="_blank" >RIV/63839172:_____/14:10130424 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Application of Artificial Intelligence on Classification of Attacks in IP Telephony

  • Original language description

    The paper deals with classification of attacks in IP telephony based on the multilayer perceptron neural network. The proposed solution MLP NN in the paper is used as a classifier of attacks in a distributed monitoring network of independent honeypot probes. The trained neural network is capable to classify the most common used VoIP attacks. With the proposed approach is possible to detect malicious behavior in a different part of networks, which are logically or geographically divided and use the information from one network to harden security in other networks.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/LM2010005" target="_blank" >LM2010005: Large Infrastructure CESNET</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2014

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Advances in Information Science and Applications - Volume II

  • ISBN

    978-1-61804-237-8

  • ISSN

    1790-5109

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    373-378

  • Publisher name

    neuveden

  • Place of publication

    neuveden

  • Event location

    Santorini

  • Event date

    Jul 17, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article