A Solution to Combat Cybersecurity Threats Involving Big Data Analytics in the Hadoop Ecosystem

Kód výsledku v 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>

Výsledek na webu

—

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

A Solution to Combat Cybersecurity Threats Involving Big Data Analytics in the Hadoop Ecosystem

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

A Solution to Combat Cybersecurity Threats Involving Big Data Analytics in the Hadoop Ecosystem

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the 30th International Business Information Management Association Conference

ISBN

978-0-9860419-9-0

ISSN

—

e-ISSN

neuvedeno

Počet stran výsledku

9

Strana od-do

"1804 "- 1812

Název nakladatele

International Business Information Management Association-IBIMA

Místo vydání

Norristown

Místo konání akce

Madrid

Datum konání akce

8. 11. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000443640501052