Big Data Security Challenges and Preventive Solutions

dc.contributor.authorRohil, Mukesh Kumar
dc.date.accessioned2022-12-27T10:41:30Z
dc.date.available2022-12-27T10:41:30Z
dc.date.issued2019-10
dc.description.abstractBig 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.identifier.urihttps://link.springer.com/chapter/10.1007/978-981-32-9949-8_21
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/8173
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.subjectComputer Scienceen_US
dc.subjectBig Dataen_US
dc.subjectBig data analysisen_US
dc.subjectBig data securityen_US
dc.subjectPrivacy protectionen_US
dc.titleBig Data Security Challenges and Preventive Solutionsen_US
dc.typeArticleen_US

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