IDEAS home Printed from https://ideas.repec.org/a/gam/jftint/v8y2016i3p44-d77208.html
   My bibliography  Save this article

Main Issues in Big Data Security

Author

Listed:
  • Julio Moreno

    (Alarcos Research Group, University of Castilla-La Mancha, 13005 Ciudad Real, Spain)

  • Manuel A. Serrano

    (Alarcos Research Group, University of Castilla-La Mancha, 13005 Ciudad Real, Spain)

  • Eduardo Fernández-Medina

    (Alarcos Research Group, University of Castilla-La Mancha, 13005 Ciudad Real, Spain)

Abstract

Data is currently one of the most important assets for companies in every field. The continuous growth in the importance and volume of data has created a new problem: it cannot be handled by traditional analysis techniques. This problem was, therefore, solved through the creation of a new paradigm: Big Data. However, Big Data originated new issues related not only to the volume or the variety of the data, but also to data security and privacy. In order to obtain a full perspective of the problem, we decided to carry out an investigation with the objective of highlighting the main issues regarding Big Data security, and also the solutions proposed by the scientific community to solve them. In this paper, we explain the results obtained after applying a systematic mapping study to security in the Big Data ecosystem. It is almost impossible to carry out detailed research into the entire topic of security, and the outcome of this research is, therefore, a big picture of the main problems related to security in a Big Data system, along with the principal solutions to them proposed by the research community.

Suggested Citation

  • Julio Moreno & Manuel A. Serrano & Eduardo Fernández-Medina, 2016. "Main Issues in Big Data Security," Future Internet, MDPI, vol. 8(3), pages 1-16, September.
    • Handle: RePEc:gam:jftint:v:8:y:2016:i:3:p:44-:d:77208
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1999-5903/8/3/44/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1999-5903/8/3/44/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Christoph Stach, 2023. "Data Is the New Oil–Sort of: A View on Why This Comparison Is Misleading and Its Implications for Modern Data Administration," Future Internet, MDPI, vol. 15(2), pages 1-49, February.
    2. Francesco Cappa & Stefano Franco & Federica Rosso, 2022. "Citizens and cities: Leveraging citizen science and big data for sustainable urban development," Business Strategy and the Environment, Wiley Blackwell, vol. 31(2), pages 648-667, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jftint:v:8:y:2016:i:3:p:44-:d:77208. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.