Network Traffic Characterisation Using Flow-Based Statistics
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14610%2F16%3A00089904" target="_blank" >RIV/00216224:14610/16:00089904 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/NOMS.2016.7502924" target="_blank" >http://dx.doi.org/10.1109/NOMS.2016.7502924</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/NOMS.2016.7502924" target="_blank" >10.1109/NOMS.2016.7502924</a>
Alternative languages
Result language
angličtina
Original language name
Network Traffic Characterisation Using Flow-Based Statistics
Original language description
Performing research on live network traffic requires the traffic to be well documented and described. The results of such research are heavily dependent on the particular network. This paper presents a study of network characteristics, which can be used to describe the behaviour of a network. We propose a number of characteristics that can be collected from the networks and evaluate them on five different networks of Masaryk University. The proposed characteristics cover IP, transport and application layers of the network traffic. Moreover, they reflect strong day-night and weekday patterns that are present in most of the networks. Variation in the characteristics between the networks indicates that they can be used for the description and differentiation of the networks. Furthermore, a weak correlation between the chosen characteristics implies their independence and contribution to network description.
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
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
IEEE/IFIP Network Operations and Management Symposium 2016 (NOMS 2016)
ISBN
9781509002238
ISSN
1542-1201
e-ISSN
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Number of pages
6
Pages from-to
907-912
Publisher name
IEEE Xplore Digital Library
Place of publication
Istanbul, Turkey
Event location
Istanbul, Turkey
Event date
Apr 25, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000389830100135