Big Data Network Flow Processing Using Apache Spark
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F19%3APU134950" target="_blank" >RIV/00216305:26230/19:PU134950 - isvavai.cz</a>
Result on the web
<a href="https://www.fit.vut.cz/research/publication/11977/" target="_blank" >https://www.fit.vut.cz/research/publication/11977/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3352700.3352709" target="_blank" >10.1145/3352700.3352709</a>
Alternative languages
Result language
angličtina
Original language name
Big Data Network Flow Processing Using Apache Spark
Original language description
The increasing amount of traffic flows captured as a part of network monitoring activities makes the analysis more complicated. One of the goals for network traffic analysis is to identify malicious communication. In the paper, we present a new system for big data network flow classification and clustering. The proposed system is based on the popular big data engines such as Apache Spark and Apache Ignite. The conducted experiments demonstrate the feasibility of the proposed approach and show the possible scalability.
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
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)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 6th Conference on the Engineering of Computer Based Systems (ECBS 2019), 2019
ISBN
978-1-4503-7636-5
ISSN
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e-ISSN
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Number of pages
9
Pages from-to
1-9
Publisher name
Association for Computing Machinery
Place of publication
Bukurešť
Event location
Bucharest
Event date
Sep 2, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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