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Security and privacy for big data a systematic literature review

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Metrics details. The major security threats are coming from within, as opposed to outside forces. Insider threat detection and prediction are important mitigation techniques. This study addresses the following research questions: 1 what are the research trends in insider threat detection and prediction nowadays?
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Big data security challenges and strategies

Security and privacy for big data a systematic literature review
Security and privacy for big data a systematic literature review
Security and privacy for big data a systematic literature review
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Big Data and Digitalization in Dentistry: A Systematic Review of the Ethical Issues

Citation: Sitalakshmi Venkatraman, Ramanathan Venkatraman. Big data security challenges and strategies[J]. AIMS Mathematics, , 4 3 : Article views PDF downloads Cited by 4. Figures 5. Sitalakshmi Venkatraman, Ramanathan Venkatraman.
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Security and privacy for big data: A systematic literature review

Metrics details. Recently, big data streams have become ubiquitous due to the fact that a number of applications generate a huge amount of data at a great velocity. This made it difficult for existing data mining tools, technologies, methods, and techniques to be applied directly on big data streams due to the inherent dynamic characteristics of big data. In this paper, a systematic review of big data streams analysis which employed a rigorous and methodical approach to look at the trends of big data stream tools and technologies as well as methods and techniques employed in analysing big data streams.
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