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
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DOI - Digital Object Identifier
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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
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Czech description
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Classification
Type
D - Article in proceedings
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
Article name in the collection
Advances in Information Science and Applications - Volume II
ISBN
978-1-61804-237-8
ISSN
1790-5109
e-ISSN
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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
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