research paper on security in big data

Encyclopedia of Big Data Technologies pp 1487–1495 Cite as

Security and Privacy in Big Data Environment

• Shekha Chenthara 3 ,
• Hua Wang 3 &
• Khandakar Ahmed 3  
• Reference work entry
• First Online: 01 January 2019

319 Accesses

1 Citations

With the Big Data been increasingly used nowadays across multiple domains, viz., science, engineering, commercial fields, and so on, it has become an interest of research as there is growing concern over Big Data security and privacy of individuals involved. This entry delineates a study regarding issues, benefits, and challenges of security and privacy of Big Data in the cloud and will discuss research challenges and directions concerning data confidentiality, privacy, and trustworthiness in the context of Big Data. Key research issues discussed in this paper include enormous benefits and challenges regarding security and privacy in Big Data and some techniques to enforce security in Big Data stores.

• Security and privacy
• Access control

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Institute for Sustainable Industries and Liveable Cities, VU Research, Victoria University, Melbourne, Australia

Shekha Chenthara, Hua Wang & Khandakar Ahmed

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Correspondence to Hua Wang .

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Institute of Computer Science, University of Tartu, Tartu, Estonia

Sherif Sakr

School of Information Technologies, Sydney University, Sydney, Australia

Albert Y. Zomaya

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Swinburne University of Technology, Melbourne, Victoria, Australia

Junjun Chen

Faculty of Engineering and Information Technologies, University of Technology Sydney https://www.uts.edu.au/staff/deepak.puthal

Deepak Puthal

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Chenthara, S., Wang, H., Ahmed, K. (2019). Security and Privacy in Big Data Environment. In: Sakr, S., Zomaya, A.Y. (eds) Encyclopedia of Big Data Technologies. Springer, Cham. https://doi.org/10.1007/978-3-319-77525-8_245

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DOI : https://doi.org/10.1007/978-3-319-77525-8_245

Published : 20 February 2019

Publisher Name : Springer, Cham

Print ISBN : 978-3-319-77524-1

Online ISBN : 978-3-319-77525-8

eBook Packages : Computer Science Reference Module Computer Science and Engineering

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