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Big data and information security

Author

Listed:
  • Veselin Popov

    (D. A. Tsenov Academy of Economics)

  • Petia Emilova

    (D. A. Tsenov Academy of Economics)

Abstract

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.

Suggested Citation

  • Veselin Popov & Petia Emilova, 2019. "Big data and information security," Conferences of the department Informatics, Publishing house Science and Economics Varna, issue 1, pages 83-90.
    • Handle: RePEc:vrn:katinf:y:2019:i:1:p:83-90
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    File URL: http://informatics.ue-varna.bg/conference19/Conf.proceedings_Informatics-50.years%2083-90.pdf
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    More about this item

    Keywords

    Big Data; Big Data Analytics; Cyber Security; Information Security;
    All these keywords.

    JEL classification:

    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs

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