You are not logged in.

Big data storage security

Wen, Mi, Yu, Shui, Li, Jinguo, Li, Hongwei and Lu, Kejie 2016, Big data storage security. In Yu, Shui and Guo, Song (ed), Big data concepts, theories, and applications, Springer, Berlin, Germany, pp.237-255, doi: 10.1007/978-3-319-27763-9_6.

Attached Files
Name Description MIMEType Size Downloads

Title Big data storage security
Author(s) Wen, Mi
Yu, ShuiORCID iD for Yu, Shui orcid.org/0000-0003-4485-6743
Li, Jinguo
Li, Hongwei
Lu, Kejie
Title of book Big data concepts, theories, and applications
Editor(s) Yu, ShuiORCID iD for Yu, Shui orcid.org/0000-0003-4485-6743
Guo, Song
Publication date 2016
Chapter number 6
Total chapters 12
Start page 237
End page 255
Total pages 19
Publisher Springer
Place of Publication Berlin, Germany
Summary The demand for data storage and processing is increasing at a rapid speed in the big data era. The management of such tremendous volume of data is a critical challenge to the data storage systems. Firstly, since 60% of the stored data is claimed to be redundant, data deduplication technology becomes an attractive solution to save storage space and traffic in a big data environment. Secondly, the security issues, such as confidentiality, integrity and privacy of the big data should also be considered for big data storage. To address these problems, convergent encryption is widely used to secure data deduplication for big data storage. Nonetheless, there still exist some other security issues, such as proof of ownership, key management and so on. In this chapter, we first introduce some major cyber attacks for big data storage. Then, we describe the existing fundamental security techniques, whose integration is essential for preventing data from existing and future security attacks. By discussing some interesting open problems, we finally expect to trigger more research efforts in this new research field.
ISBN 9783319277639
9783319277615
Language eng
DOI 10.1007/978-3-319-27763-9_6
Field of Research 080303 Computer System Security
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category B1 Book chapter
ERA Research output type B Book chapter
Copyright notice ©2016, Springer International Publishing Switzerland
Persistent URL http://hdl.handle.net/10536/DRO/DU:30085301

Document type: Book Chapter
Collection: School of Information Technology
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 2 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 131 Abstract Views, 2 File Downloads  -  Detailed Statistics
Created: Thu, 18 Aug 2016, 13:28:10 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.