Big Data Security using Fragmentation in Mongo Data Store

Abstract:

One of the key security issues involved with big data aggregation and analysis is that organisations collect and process a great deal of sensitive information. Every day, we process personal data through the web and smart phones. In fact, we do not cease to transmit our identifiable information via the MongoDB nodes. Big data becomes widely spread because of the increasing number of its sources and people who use them. Thus, Due to big data proliferation and the various information resources, our personal data will be shared and published by all people; that is why our privacy will be increasingly accessed, and thus threatened by hackers. Through this paper, we want to dig into the big data context while implementing a methodological approach to protect the sensitive data in the big data storage. These massive data sets have lead to the emergence of some distributed data processing and storage technologies like Mongo data stores. In this paper, we propose a method which combines fragmentation and encryption to ensure security in Mongo database. It allows sensitive data security in NoSQL context..

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