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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
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    Citations

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    Cited by:

    1. 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.
    2. 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.

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