Publication Details

TARZAN: An Integrated Platform for Security Analysis

RYCHLÝ, M.; RYŠAVÝ, O. TARZAN: An Integrated Platform for Security Analysis. In Proceedings of the 2017 Federated Conference on Computer Science and Information Systems. Annals of Computer Science and Information Systems, Volume 11. Praha: IEEE Computer Society, 2017. p. 561-567. ISBN: 978-83-946253-7-5.
Czech title
TARZAN: Integrovaná platforma pro bezpečnostní analýzy
Type
conference paper
Language
English
Authors
URL
Keywords

Security, Big data, Framework

Abstract

In this paper, we present the TARZAN platform, an integrated platform for analysis of digital data from security incidents. The platform serves primarily as a middleware between data sources and data processing applications, however, it also provides several supporting services and a runtime environment for the applications. The supporting services, such as a data storage, a resource and application registry, a synchronization service, and a distributed computing platform, are utilized by the TARZAN applications for various security-oriented analyses on the integrated data ranging from an IT security incident detection to inference analyses of data from social networks or crypto-currency transactions. To cope with a large amount of distributed data, both streamed in real-time and stored, and the need of a large scale distributed computing, the platform has been designed as a Big Data processing system ensuring reliable, scalable, and cost-effective solution. The platform is demonstrated on the case of a security analysis of network traffic.

Published
2017
Pages
561–567
Proceedings
Proceedings of the 2017 Federated Conference on Computer Science and Information Systems
Series
Annals of Computer Science and Information Systems, Volume 11
ISBN
978-83-946253-7-5
Publisher
IEEE Computer Society
Place
Praha
DOI
UT WoS
000417412800084
EID Scopus
BibTeX
@inproceedings{BUT144436,
  author="Marek {Rychlý} and Ondřej {Ryšavý}",
  title="TARZAN: An Integrated Platform for Security Analysis",
  booktitle="Proceedings of the 2017 Federated Conference on Computer Science and Information Systems",
  year="2017",
  series="Annals of Computer Science and Information Systems, Volume 11",
  pages="561--567",
  publisher="IEEE Computer Society",
  address="Praha",
  doi="10.15439/2017F280",
  isbn="978-83-946253-7-5",
  url="http://ieeexplore.ieee.org/document/8104600/"
}
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