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Standardization of Big Data and Its Policies

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Privacy and Security Issues in Big Data

Part of the book series: Services and Business Process Reengineering ((SBPR))

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Abstract

Big data is defined as massive sets consisting of a broader variety of data, further complicated as well as dynamic structure with challenges in collecting, storing, examining, and then applying additional procedures or extracting results then visualizing further the outcomes. The phrase big data analytics is utilized to delineate the aforementioned method of studying vast volumes of complex data to discover hidden trends or to find secret associations. There is, nevertheless, a strong inconsistency seen between privacy, security, and the widely accepted use of big data. This article deals with the use of privacy by adapting established techniques, like k-anonymity, HybrEx, T-closeness, and L-diversity, and introducing them in trade and commerce. A variety of privacy-preservation frameworks are being geared toward the preservation of solitude at various levels (such as production, storage, and processing of data) of the big data lifetime. This paper aims to include a detailed summary of frameworks for protecting the privacy and also to address some barriers to current frameworks. This paper also covers different policies related to big data standards. At least, a brief review of the Indian Personal Data Protection Bill is done.

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Authors and Affiliations

  1. School of Computer Engineering, Kalinga Institute of Industrial Technology (Deemed to be) University, Bhubaneswar, India

    Sankalp Nayak, Anuttam Dash & Subhashree Swain

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  1. Sankalp Nayak
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  2. Anuttam Dash
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  3. Subhashree Swain
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Editors and Affiliations

  1. Department of Computer Science and Engineering, Indian Institute of Technology Guwahati, Guwahati, India

    Pradip Kumar Das

  2. School of Computer Engineering, KIIT University, Bhubaneswar, India

    Hrudaya Kumar Tripathy

  3. Faculty of Engineering and Information Sciences, University of Wollongong, Dubai, United Arab Emirates

    Shafiz Affendi Mohd Yusof

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Nayak, S., Dash, A., Swain, S. (2021). Standardization of Big Data and Its Policies. In: Das, P.K., Tripathy, H.K., Mohd Yusof, S.A. (eds) Privacy and Security Issues in Big Data. Services and Business Process Reengineering. Springer, Singapore. https://doi.org/10.1007/978-981-16-1007-3_6

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