Int. J. of Big Data Intelligence   »   2016 Vol.3, No.1



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Title: Privacy models for big data: a survey


Authors: Nancy Victor; Daphne Lopez; Jemal H. Abawajy


School of Information Technology and Engineering, VIT University, Vellore, India
School of Information Technology and Engineering, VIT University, Vellore, India
Faculty of Science, Engineering and Built Environment, Deakin University, Melbourne, Australia


Abstract: Big data is the next big thing in computing. As this data cannot be processed using traditional systems, it poses numerous challenges to the research community. Privacy is one of the important concerns with data, be it traditional data or big data. This paper gives an overview of big data, the challenges with big data and the privacy preserving data sharing and publishing scenario. We focus on the various privacy models that can be extended to big data domain. A description of each privacy model with its benefits and drawbacks is discussed in the review. This survey will contribute much to the benefit of researchers and industry players in uncovering the critical areas of big data privacy.


Keywords: anonymisation; big data challenges; big data characteristics; big data privacy; differential privacy; k-anonymity; l-diversity; privacy models; privacy preservation; privacy protection; social network graphs; streaming data; t-closeness; data sharing; publishing.


DOI: 10.1504/IJBDI.2016.073904


Int. J. of Big Data Intelligence, 2016 Vol.3, No.1, pp.61 - 75


Submission date: 22 Jul 2015
Date of acceptance: 20 Aug 2015
Available online: 29 Dec 2015



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