Network Traffic Characterisation Using Flow-Based Statistics

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Network Traffic Characterisation Using Flow-Based Statistics

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Network Traffic Characterisation Using Flow-Based Statistics

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

—

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2016

Kód důvěrnosti údajů

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

Název statě ve sborníku

IEEE/IFIP Network Operations and Management Symposium 2016 (NOMS 2016)

ISBN

9781509002238

ISSN

1542-1201

e-ISSN

—

Počet stran výsledku

6

Strana od-do

907-912

Název nakladatele

IEEE Xplore Digital Library

Místo vydání

Istanbul, Turkey

Místo konání akce

Istanbul, Turkey

Datum konání akce

25. 4. 2016

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000389830100135