Look at my Network: An Insight into the ISP Backbone Traffic

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F63839172%3A_____%2F23%3A10133628" target="_blank" >RIV/63839172:_____/23:10133628 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/68407700:21240/23:00370580

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/10327823" target="_blank" >https://ieeexplore.ieee.org/document/10327823</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.23919/CNSM59352.2023.10327823" target="_blank" >10.23919/CNSM59352.2023.10327823</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Look at my Network: An Insight into the ISP Backbone Traffic

Popis výsledku v původním jazyce

High-speed ISP networks provide several challenges that prevent the creation of long-term datasets for giving insight into the traffic. Currently, there are no publicly available long-term datasets capturing the entirety of high-speed ISP networks. Such networks are traditionally monitored using IP Flows, which provide enough high-level information about the situation in the network and support various use cases, such as the detection of outages or security threats. Even with this type of aggregation long-term datasets are very unpractical due to their size. The other problem is that flow monitoring comes with significant aggregation and common traffic statistics are brief and lack useful details and require further processing. This paper addresses these problems and presents a new long-term aggregated dataset, a detailed analysis of public network traffic measured on the ISP backbone, and a monitoring architecture composed of open-source tools capable of using an existing flow exporter infrastructure. Such insight into traffic helps to design and develop hardware optimizations, tuning the performance of monitoring systems, and adapting security detection algorithms.

Název v anglickém jazyce

Look at my Network: An Insight into the ISP Backbone Traffic

Popis výsledku anglicky

High-speed ISP networks provide several challenges that prevent the creation of long-term datasets for giving insight into the traffic. Currently, there are no publicly available long-term datasets capturing the entirety of high-speed ISP networks. Such networks are traditionally monitored using IP Flows, which provide enough high-level information about the situation in the network and support various use cases, such as the detection of outages or security threats. Even with this type of aggregation long-term datasets are very unpractical due to their size. The other problem is that flow monitoring comes with significant aggregation and common traffic statistics are brief and lack useful details and require further processing. This paper addresses these problems and presents a new long-term aggregated dataset, a detailed analysis of public network traffic measured on the ISP backbone, and a monitoring architecture composed of open-source tools capable of using an existing flow exporter infrastructure. Such insight into traffic helps to design and develop hardware optimizations, tuning the performance of monitoring systems, and adapting security detection algorithms.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/VJ02010024" target="_blank" >VJ02010024: Analýza šifrovaného provozu pomocí síťových toků</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2023

Kód důvěrnosti údajů

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

Název statě ve sborníku

2023 19th International Conference on Network and Service Management (CNSM)

ISBN

978-3-903176-59-1

ISSN

2165-963X

e-ISSN

—

Počet stran výsledku

7

Strana od-do

—

Název nakladatele

IEEE

Místo vydání

New York

Místo konání akce

Niagara Falls

Datum konání akce

30. 10. 2023

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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