Detail publikace

Big Data Network Flow Processing Using Apache Spark

JEŘÁBEK, K. RYŠAVÝ, O.

Originální název

Big Data Network Flow Processing Using Apache Spark

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

Big Data, Network flows, Apache Spark, Cassandra, Apache Ignite

Autoři

JEŘÁBEK, K.; RYŠAVÝ, O.

Vydáno

30. 4. 2019

Nakladatel

Association for Computing Machinery

Místo

Bukurešť

ISBN

978-1-4503-7636-5

Kniha

Proceedings of the 6th Conference on the Engineering of Computer Based Systems (ECBS 2019), 2019

Strany od

1

Strany do

9

Strany počet

9

URL

https://www.fit.vut.cz/research/publication/11977/

BibTex

@inproceedings{BUT161450,
  author="Kamil {Jeřábek} and Ondřej {Ryšavý}",
  title="Big Data Network Flow Processing Using Apache Spark",
  booktitle="Proceedings of the 6th Conference on the Engineering of Computer Based Systems (ECBS 2019), 2019",
  year="2019",
  pages="1--9",
  publisher="Association for Computing Machinery",
  address="Bukurešť",
  doi="10.1145/3352700.3352709",
  isbn="978-1-4503-7636-5",
  url="https://www.fit.vut.cz/research/publication/11977/"
}

Dokumenty

ECBS_2019_paper_28.pdf