Big data and information security
Veselin Popov () and
Petia Emilova ()
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Veselin Popov: D. A. Tsenov Academy of Economics
Petia Emilova: D. A. Tsenov Academy of Economics
Conferences of the department Informatics, 2019, issue 1, 83-90
Along with the many opportunities that Big Data provides, it brings many threats to society and businesses. Big Data Analytics in security refers to the ability to gather massive amounts of digital information to detect, analyse and visualize insights that enable the prediction and counteraction of cyberattacks. Along with security technologies, organizations are given the opportunity to identify activity schemes that represent network and other types of threats, which is of great practical importance. The scope of paper is big data, its sources, features, protection, platforms and processing tools, analyses the abilities of big data for cyber security and define some challenges that refer to major Big Data security issues. The meth-odology of the study involves a research of the literature on the topic.
Keywords: Big Data; Big Data Analytics; Cyber Security; Information Security (search for similar items in EconPapers)
JEL-codes: C8 (search for similar items in EconPapers)
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Persistent link: https://EconPapers.repec.org/RePEc:vrn:katinf:y:2019:i:1:p:83-90
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