Neural network classifier 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%2F61989100%3A27240%2F14%3A86090921" target="_blank" >RIV/61989100:27240/14:86090921 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1117/12.2050671" target="_blank" >http://dx.doi.org/10.1117/12.2050671</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1117/12.2050671" target="_blank" >10.1117/12.2050671</a>
Alternative languages
Result language
angličtina
Original language name
Neural network classifier of attacks in IP telephony
Original language description
Various types of monitoring mechanism allow us to detect and monitor behavior of attackers in VoIP networks. Analysis of detected malicious traffic is crucial for further investigation and hardening the network. This analysis is typically based on statistical methods and the article brings a solution based on neural network. The proposed algorithm is used as a classifier of attacks in a distributed monitoring network of independent honeypot probes. Information about attacks on these honeypots is collected on a centralized server and then classified. This classification is based on different mechanisms. One of them is based on the multilayer perceptron neural network. The article describes inner structure of used neural network and also information about implementation of this network. The learning set for this neural network is based on real attack data collected from IP telephony honeypot called Dionaea. We prepare the learning set from real attack data after collecting, cleaning and
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
JC - Computer hardware and software
OECD FORD branch
—
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
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
Proceedings of SPIE - The International Society for Optical Engineering. Volume 9118
ISBN
978-1-62841-055-6
ISSN
0277-786X
e-ISSN
—
Number of pages
7
Pages from-to
"A1"-"A7"
Publisher name
SPIE
Place of publication
Bellingham
Event location
Baltimore
Event date
May 7, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—