Journal article

RYCHLÝ Marek and RYŠAVÝ Ondřej. Big Data Security Analysis with TARZAN Platform. Journal of Cyber Security and Mobility. Gistrup: River Publishers, 2018, vol. 8, no. 2, pp. 165-188. ISSN 2245-1439. Available from: https://www.riverpublishers.com/journal.php?j=JCSM/8/2/jart
Publication language:english
Original title:Big Data Security Analysis with TARZAN Platform
Title (cs):Bezpečnostní analýza Big Data pomocí platformy TARZAN
Pages:165-188
Place:DK
Year:2018
URL:https://www.riverpublishers.com/journal.php?j=JCSM/8/2/jart
Journal:Journal of Cyber Security and Mobility, Vol. 8, No. 2, Gistrup, DK
ISSN:2245-1439
DOI:10.13052/jcsm2245-1439.822
Keywords
Security, Big data, Framework
Annotation
The TARZAN platform is 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.
BibTeX:
@ARTICLE{
   author = {Marek Rychl{\'{y}} and Ond{\v{r}}ej
	Ry{\v{s}}av{\'{y}}},
   title = {Big Data Security Analysis with TARZAN Platform},
   pages = {165--188},
   journal = {Journal of Cyber Security and Mobility},
   volume = {8},
   number = {2},
   year = {2018},
   ISSN = {2245-1439},
   doi = {10.13052/jcsm2245-1439.822},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php?id=11558}
}

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