Large-Scale Geolocation for NetFlow
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14610%2F13%3A00068480" target="_blank" >RIV/00216224:14610/13:00068480 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Large-Scale Geolocation for NetFlow
Original language description
Current approaches perform geolocation mostly on-demand and in a small-scale fashion. As soon as geolocation needs to be performed in real-time in high-speed and large-scale networks, these approaches are not scalable anymore. To solve this problem, we propose two approaches to large-scale geolocation. Firstly, we present an exporter-based approach, which adds geolocation data to flow records in a way that is transparent to any flow collector. Secondly, we present a flow collector-based approach, whichadds native geolocation to NetFlow data from any flow exporter. After presenting prototypes for both approaches, we demonstrate the applicability of large-scale geolocation by means of use cases.
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
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
IFIP/IEEE International Symposium on Integrated Network Management (IM 2013)
ISBN
9781467352291
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
1015-1020
Publisher name
IEEE Xplore Digital Library
Place of publication
Ghent, Belgium
Event location
Ghent, Belgium
Event date
May 27, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000327159900161