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Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Security and Privacy Challenges in Big Data

Security and Privacy Challenges in Big Data
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Author(s): Dharmpal Singh (JISCE, India), Ira Nath (JISCE, India) and Pawan Kumar Singh (Honeywell Labs, India)
Copyright: 2020
Pages: 28
Source title: Security, Privacy, and Forensics Issues in Big Data
Source Author(s)/Editor(s): Ramesh C. Joshi (Graphic Era University, Dehradun, India) and Brij B. Gupta (National Institute of Technology, Kurukshetra, India)
DOI: 10.4018/978-1-5225-9742-1.ch004

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Abstract

Big data refers to enormous amount of information which may be in planned and unplanned form. The huge capacity of data creates impracticable situation to handle with conventional database and traditional software skills. Thousands of servers are needed for its processing purpose. Big data gathers and examines huge capacity of data from various resources to determine exceptional novel awareness and recognizing the technical and commercial circumstances. However, big data discloses the endeavor to several data safety threats. Various challenges are there to maintain the privacy and security in big data. Protection of confidential and susceptible data from attackers is a vital issue. Therefore, the goal of this chapter is to discuss how to maintain security in big data to keep your organization robust, operational, flexible, and high performance, preserving its digital transformation and obtaining the complete benefit of big data, which is safe and secure.

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