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2019 | OriginalPaper | Buchkapitel

Big Data Security on Cloud Servers Using Data Fragmentation Technique and NoSQL Database

verfasst von : Nelson Santos, Giovanni L. Masala

Erschienen in: Intelligent Interactive Multimedia Systems and Services

Verlag: Springer International Publishing

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Abstract

Cloud computing has become so popular that most sensitive data are hosted on the cloud. This fast-growing paradigm has brought along many problems, including the security and integrity of the data, where users rely entirely on the providers to secure their data. This paper investigates the use of the pattern fragmentation to split data into chunks before storing it in the cloud, by comparing the performance on two different cloud providers. In addition, it proposes a novel approach combining a pattern fragmentation technique with a NoSQL database, to organize and manage the chunks. Our research has indicated that there is a trade-off on the performance when using a database. Any slight difference on a big data environment is always important, however, this cost is compensated by having the data organized and managed. The use of random pattern fragmentation has great potential, as it adds a layer of protection on the data without using as much resources, contrary to using encryption.

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Metadaten
Titel
Big Data Security on Cloud Servers Using Data Fragmentation Technique and NoSQL Database
verfasst von
Nelson Santos
Giovanni L. Masala
Copyright-Jahr
2019
DOI
https://doi.org/10.1007/978-3-319-92231-7_1