Protection of big data privacy Mehmood, Abid, Natgunanathan, Iynkaran, Xiang, Yong, Hua, Guang and Guo, Song 2016, Protection of big data privacy, IEEE access, vol. 4, pp. 1821-1834, doi: 10.1109/ACCESS.2016.2558446. Attached Files Name Description MIMEType Size Downloads mehmood-protectionofbig-2016.pdf Published version application/pdf 2.24MB 4 Title Protection of big data privacy Author(s) Mehmood, Abid Natgunanathan, Iynkaran Xiang, Yong orcid.org/0000-0003-3545-7863 Hua, Guang Guo, Song Journal name IEEE access Volume number 4 Start page 1821 End page 1834 Total pages 14 Publisher IEEE Place of publication Piscataway, N.J. Publication date 2016 ISSN 2169-3536 Keyword(s) big data privacy data auditing big data storage big data processing Summary In recent years, big data have become a hot research topic. The increasing amount of big data also increases the chance of breaching the privacy of individuals. Since big data require high computational power and large storage, distributed systems are used. As multiple parties are involved in these systems, the risk of privacy violation is increased. There have been a number of privacy-preserving mechanisms developed for privacy protection at different stages (e.g., data generation, data storage, and data processing) of a big data life cycle. The goal of this paper is to provide a comprehensive overview of the privacy preservation mechanisms in big data and present the challenges for existing mechanisms. In particular, in this paper, we illustrate the infrastructure of big data and the state-of-the-art privacy-preserving mechanisms in each stage of the big data life cycle. Furthermore, we discuss the challenges and future research directions related to privacy preservation in big data. Language eng DOI 10.1109/ACCESS.2016.2558446 Field of Research 080109 Pattern Recognition and Data Mining Socio Economic Objective 861699 Computer Hardware and Electronic Equipment not elsewhere classified HERDC Research category C1 Refereed article in a scholarly journal ERA Research output type C Journal article Copyright notice ©2016, IEEE Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30085482 Document type: Journal Article Collections: School of Information Technology Open Access Collection Related Links Link Description Connect to published version Go to link with your DU access privileges   Connect to Elements publication management system Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au. Versions Version Filter Type Thu, 18 Aug 2016, 05:00:42 EST Thu, 18 Aug 2016, 12:15:35 EST Thu, 18 Aug 2016, 13:53:01 EST Mon, 22 Aug 2016, 10:34:49 EST Tue, 23 Aug 2016, 06:09:54 EST Mon, 10 Oct 2016, 07:37:01 EST Mon, 10 Oct 2016, 07:41:09 EST Mon, 10 Oct 2016, 07:41:53 EST Fri, 16 Jun 2017, 15:31:04 EST Sat, 17 Jun 2017, 02:30:41 EST Mon, 19 Jun 2017, 15:08:27 EST Filtered Full Citation counts:   Cited 2 times in TR Web of Science Cited 5 times in Scopus Search Google Scholar Access Statistics: 80 Abstract Views, 5 File Downloads  -  Detailed Statistics Created: Mon, 22 Aug 2016, 10:34:49 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.