Preserving relations in parallel flow data processing
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F63839172%3A_____%2F17%3A10132898" target="_blank" >RIV/63839172:_____/17:10132898 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21240/17:00312434
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-319-60774-0_14" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-319-60774-0_14</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-60774-0_14" target="_blank" >10.1007/978-3-319-60774-0_14</a>
Alternative languages
Result language
angličtina
Original language name
Preserving relations in parallel flow data processing
Original language description
Network monitoring produces high volume of data that must be analyzed ideally in near real-time to support network security operations. It is possible to process the data using Big Data frameworks, however, such approach requires adaptation or complete redesign of processing tools to get the same results. This paper elaborates on a parallel processing based on splitting a stream of flow records. The goal is to create subsets of traffic that contain enough information for parallel anomaly detection. The paper describes a methodology based on so called witnesses that helps to scale up without any need to modify existing 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
10200 - Computer and information sciences
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Security of Networks and Services in an All-Connected World
ISBN
978-3-319-60773-3
ISSN
0302-9743
e-ISSN
neuvedeno
Number of pages
4
Pages from-to
153-156
Publisher name
Springer
Place of publication
Švýcarsko
Event location
Zurich
Event date
Jul 10, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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