A Solution to Combat Cybersecurity Threats Involving Big Data Analytics in the Hadoop Ecosystem
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F17%3A39910615" target="_blank" >RIV/00216275:25410/17:39910615 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
A Solution to Combat Cybersecurity Threats Involving Big Data Analytics in the Hadoop Ecosystem
Original language description
Information and data security have become the biggest concern for almost all organizations. At the same time, new security challenges emerge constantly as networks become more highly distributed and virtualization architectures are adopted. Big data analytics promises to deliver opportunities for prevention and detection of advanced cyberattacks using internal and external big security data. The increase of these streamed and stored data together with the development of distributed analytical systems has led to rapid increase in demand for big data analytics integration in in the field of cybersecurity. Therefore, this paper attempted to discuss these practices. A literature review was conducted and the most suitable components were identified with the aim to propose a conceptual model, which should help to combat cybersecurity threats involving big data analytics in the Hadoop ecosystem. By implementing this model, organizations may be able to detect threats, create more defense mechanisms, and improve security of their infrastructure.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 30th International Business Information Management Association Conference
ISBN
978-0-9860419-9-0
ISSN
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e-ISSN
neuvedeno
Number of pages
9
Pages from-to
"1804 "- 1812
Publisher name
International Business Information Management Association-IBIMA
Place of publication
Norristown
Event location
Madrid
Event date
Nov 8, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000443640501052