Ontology type: schema:ScholarlyArticle
2017-05-09
AUTHORS ABSTRACTBig 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. More... »
PAGES183-201
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DOIhttp://dx.doi.org/10.1007/s40171-017-0157-5
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