Abstract
Securing big data is among the major challenges for information suppliers. Indeed, the lack of a robust methodological solution dedicated to the big data security makes the issues of privacy and personal data protection major research areas. In fact, many studies and works have dealt with the meeting between privacy and big information. Because of the huge volume of data that spread between social networks and clouds Application, we have to think about an approach that addresses enhancing data security in databases, specifically in the context of NoSQL environments. This paper introduces a new methodological approach for big data security based on data fragmentation.
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Heni, H., Gargouri, F. (2015). A Methodological Approach for Big Data Security: Application for NoSQL Data Stores. In: Arik, S., Huang, T., Lai, W., Liu, Q. (eds) Neural Information Processing. ICONIP 2015. Lecture Notes in Computer Science(), vol 9492. Springer, Cham. https://doi.org/10.1007/978-3-319-26561-2_80
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DOI: https://doi.org/10.1007/978-3-319-26561-2_80
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