Look at my Network: An Insight into the ISP Backbone Traffic
The result's identifiers
Result code in 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>
Alternative codes found
RIV/68407700:21240/23:00370580
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Look at my Network: An Insight into the ISP Backbone Traffic
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/VJ02010024" target="_blank" >VJ02010024: Flow-based Encrypted Traffic Analysis</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2023 19th International Conference on Network and Service Management (CNSM)
ISBN
978-3-903176-59-1
ISSN
2165-963X
e-ISSN
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Number of pages
7
Pages from-to
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Publisher name
IEEE
Place of publication
New York
Event location
Niagara Falls
Event date
Oct 30, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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