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Big Data Security Challenges and Preventive Solutions

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dc.contributor.author Rohil, Mukesh Kumar
dc.date.accessioned 2022-12-27T10:41:30Z
dc.date.available 2022-12-27T10:41:30Z
dc.date.issued 2019-10
dc.identifier.uri https://link.springer.com/chapter/10.1007/978-981-32-9949-8_21
dc.identifier.uri http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/8173
dc.description.abstract Big data has opened the possibility of making great advancements in many scientific disciplines and has become a very interesting topic in academic world and in industry. It has also given contributions to innovation, improvements in productivity and competitiveness. However, at present, there are various security risks involved in the process of collection, storage and use. The leakage of privacy caused by big data poses serious problems for the users; also the incorrect or false big data may lead to wrong or invalid analysis of results. The presented work analyzes the technical challenges of implementing big data security and privacy protection, and describes some key solutions to address the issues related with big data security and privacy. en_US
dc.language.iso en en_US
dc.publisher Springer en_US
dc.subject Computer Science en_US
dc.subject Big Data en_US
dc.subject Big data analysis en_US
dc.subject Big data security en_US
dc.subject Privacy protection en_US
dc.title Big Data Security Challenges and Preventive Solutions en_US
dc.type Article en_US


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