Abstract
Big 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.
Highlights
IntroductionBig data is transforming the center of modern science and global business landscape
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
We review the current data security in big data and analysis its feasibilities and obstacles
Summary
Big data is transforming the center of modern science and global business landscape. These data are generated from multitude of devices, online transactions, health records, search queries, social network-related information, videos, audios, images, and etc. The lifecycle of big data is the process of analyzing large amounts of data of a variety of types to produce unknown correlations and hidden information. The first “V” represents the volume of data.
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