Towards the Development of Best Data Security for Big Data

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dc.contributor.authorYuan, Tian
dc.date.accessioned2018-05-11T12:36:02Z
dc.date.available2018-05-11T12:36:02Z
dc.date.issued2017-11
dc.description.abstractBig data is becoming a well-known buzzword and in active use in many areas. Because of the velocity, variety, and volume of big data, security and privacy issues are magnified, which results in the traditional protection mechanisms for structured small scale data are inadequate for big data. Sensitivities around big data security and privacy are a hurdle that organizations need to overcome. In this paper, we review the current data security in big data and analysis its feasibilities and obstacles. Besides, we also introduced intelligent analytics to enhance security with the proposed security intelligence model. This research aims to summarize, organize and classify the information available in the literature to identify any gaps in current research and suggest areas for scholars and security researchers for further investigation.en_US
dc.identifier.citationCommunication Network Vol.9 No.4, November 2017en_US
dc.identifier.urihttp://hdl.handle.net/123456789/1319
dc.language.isoenen_US
dc.publisherCommunication Networken_US
dc.subjectSecurity Intelligence Modelen_US
dc.subjectSecure Big Dataen_US
dc.subjectBig Data Analyticsen_US
dc.titleTowards the Development of Best Data Security for Big Dataen_US
dc.typeArticleen_US
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