Přístupnostní navigace
E-application
Search Search Close
Publication detail
JEŘÁBEK, K. RYŠAVÝ, O.
Original Title
Big Data Network Flow Processing Using Apache Spark
Type
conference paper
Language
English
Original Abstract
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.
Keywords
Big Data, Network flows, Apache Spark, Cassandra, Apache Ignite
Authors
JEŘÁBEK, K.; RYŠAVÝ, O.
Released
30. 4. 2019
Publisher
Association for Computing Machinery
Location
Bukurešť
ISBN
978-1-4503-7636-5
Book
Proceedings of the 6th Conference on the Engineering of Computer Based Systems (ECBS 2019), 2019
Pages from
1
Pages to
9
Pages count
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/" }