Publication detail

TARZAN: An Integrated Platform for Security Analysis

RYCHLÝ, M. RYŠAVÝ, O.

Original Title

TARZAN: An Integrated Platform for Security Analysis

Type

conference paper

Language

English

Original 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.

Keywords

Security, Big data, Framework

Authors

RYCHLÝ, M.; RYŠAVÝ, O.

Released

3. 9. 2017

Publisher

IEEE Computer Society

Location

Praha

ISBN

978-83-946253-7-5

Book

Proceedings of the 2017 Federated Conference on Computer Science and Information Systems

Edition

Annals of Computer Science and Information Systems, Volume 11

Pages from

561

Pages to

567

Pages count

7

URL

http://ieeexplore.ieee.org/document/8104600/

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/"
}

Documents

fedCSIS_proc_280.pdf
fedcsis17-rychly_print.pdf