A Neural Network Based System for 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%3A10130425" target="_blank" >RIV/63839172:_____/14:10130425 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
A Neural Network Based System for Classification of Attacks in IP Telephony
Original language description
This article deals with an application of artificial intelligence on classification of attacks in IP telephony. Current used solution of classification is typically based on statistical methods such as Hellinger-Distance, Holt-Winters or Brutlag algorithm and 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 vulnerability of SIP elements to DoS attacks was examined in real infrastructure and evaluated their impact on a SIP server. We prepared a set of honeypots monitoring various aspects of nowadays VoIP infrastructure which bring valuable data about hacker's activity with no threat to the running system. Data about attacks on these honeypots are collected on a centralized server and then classified in the neural network. The paper describes inner structure of used neural network and also information about implementation of this network. The trained neural network is capable to classify t
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
IN - Informatics
OECD FORD branch
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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
Name of the periodical
INTERNATIONAL JOURNAL OF CIRCUITS, SYSTEMS AND SIGNAL PROCESSING
ISSN
1998-4464
e-ISSN
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Volume of the periodical
8
Issue of the periodical within the volume
neuveden
Country of publishing house
US - UNITED STATES
Number of pages
8
Pages from-to
368-375
UT code for WoS article
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EID of the result in the Scopus database
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