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Prioritizing and Ranking the Big Data Information Security Risk Spectrum

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  • S. Vijayakumar Bharathi

    (Symbiosis International University (SIU))

Abstract

Big data research brings in a lot of research interest and excitement from both industry and academia. While several research works have addressed the characteristics, technology and business application of big data, less literature has addressed the information security risk assessment of big data, to which this paper contributes to. This research work shows a big data information security risk spectrum comprised of 25 well-defined risk factors into seven constructs that are prioritized and ranked. The unique contribution of the paper is the mix of analytic hierarchy process, one of the most popular multi-criteria decision-making methods with the Delphi technique, another popular group decision-making technique. The results state that new-age technology risk factors like data brokering, global exposure to personal data, lack of governance-based security design are the top three risk factors which are considered from the standpoint of security, privacy and governance in big data management.

Suggested Citation

  • S. Vijayakumar Bharathi, 2017. "Prioritizing and Ranking the Big Data Information Security Risk Spectrum," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 18(3), pages 183-201, September.
    • Handle: RePEc:spr:gjofsm:v:18:y:2017:i:3:d:10.1007_s40171-017-0157-5
    DOI: 10.1007/s40171-017-0157-5
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    Cited by:

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    2. Marina Johnson & Rashmi Jain & Peggy Brennan-Tonetta & Ethne Swartz & Deborah Silver & Jessica Paolini & Stanislav Mamonov & Chelsey Hill, 2021. "Impact of Big Data and Artificial Intelligence on Industry: Developing a Workforce Roadmap for a Data Driven Economy," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 22(3), pages 197-217, September.
    3. Ali Aghazadeh Ardebili & Elio Padoano, 2020. "A Literature Review of the Concepts of Resilience and Sustainability in Group Decision-Making," Sustainability, MDPI, vol. 12(7), pages 1-22, March.
    4. Davide Settembre-Blundo & Rocío González-Sánchez & Sonia Medina-Salgado & Fernando E. García-Muiña, 2021. "Flexibility and Resilience in Corporate Decision Making: A New Sustainability-Based Risk Management System in Uncertain Times," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 22(2), pages 107-132, December.
    5. Arpan Kumar Kar & P. S. Varsha & Shivakami Rajan, 2023. "Unravelling the Impact of Generative Artificial Intelligence (GAI) in Industrial Applications: A Review of Scientific and Grey Literature," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 24(4), pages 659-689, December.
    6. Ashish Kumar Rathore & Santanu Das & P. Vigneswara Ilavarasan, 2018. "Social Media Data Inputs in Product Design: Case of a Smartphone," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 19(3), pages 255-272, September.
    7. Pournader, Mehrdokht & Ghaderi, Hadi & Hassanzadegan, Amir & Fahimnia, Behnam, 2021. "Artificial intelligence applications in supply chain management," International Journal of Production Economics, Elsevier, vol. 241(C).

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