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Demystifying Big Data in the Cloud: Enhancing Privacy and Security Using Data Mining Techniques
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Author(s): Gebeyehu Belay Gebremeskel (Chongqing University, China), Yi Chai (Chongqing University, China)and Zhongshi He (Chongqing University, China)
Copyright: 2015
Pages: 41
Source title:
Geo-Intelligence and Visualization through Big Data Trends
Source Author(s)/Editor(s): Burçin Bozkaya (Sabanci University School of Management, Turkey)and Vivek Kumar Singh (Rutgers, The State University of New Jersey, USA & Massachusetts Institute of Technology, USA)
DOI: 10.4018/978-1-4666-8465-2.ch011
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Abstract
Big data in the cloud are an emerging paradigm for huge and federated data processing, storing and distributing by deploying web applications. Scalability, elasticity, pay-per-use pricing, and an advance of ICT scale from large and dynamic applications and performance are the major reasons for the success and widespread adoption of big data cloud infrastructures. It is ‘no secret of the enterprise data', which is challenging for privacy and security. In this chapter, authors deeply discussed and introduce novel approaches and methodologies to easily understood big data phenomenon and technology towards data or web resources privacy and security. Nutshell, big data has a powerful potential to predict cloud risks to develop and deploy corporate security strategies. The chapter's contribution is, in general, to gain a meaningful insight of big data in the cloud and its applications, which is hot issues for today's businesses to make proactive and knowledge-driven decisions.
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