DocumentCode
3599896
Title
A privacy preserving scheme for change increment of electricity big data base on symmetric cryptography
Author
Yiwen Nie ; Wei Yang ; Liusheng Huang ; Xiaorong Lu
Author_Institution
Sch. of Comput. Sci. & Technol., Univ. of Sci. & Technol. of China, Hefei, China
fYear
2014
Firstpage
487
Lastpage
490
Abstract
Because of the large volume and quick-change of real-time electricity data, users´ data generally is stored in various cloud platforms, which are easily attacked by adversaries, and users´ privacy is revealed by this disclosure of data indirectly. Therefore, in order to prevent the disclosure of privacy, it is necessary for cloud platforms to have an efficient, secure method to protect the real-time data. In this work, we present a privacy preserving scheme based on symmetric cryptography for change increment of electricity big data, which is proved to be of high-security and with high running efficiency through theoretical analysis and simulation experiment.
Keywords
Big Data; cryptography; data protection; power markets; change increment; cloud platforms; electricity Big Data-base; real-time data protection; real-time electricity data; running efficiency; secure method; symmetric cryptography; user data storage; user privacy disclosure prevention; Big data; Cryptography; Data privacy; Indexes; Real-time systems; Servers; big data; electricity; privacy; symmetric cryptograph;
fLanguage
English
Publisher
ieee
Conference_Titel
Cloud Computing and Intelligence Systems (CCIS), 2014 IEEE 3rd International Conference on
Print_ISBN
978-1-4799-4720-1
Type
conf
DOI
10.1109/CCIS.2014.7175784
Filename
7175784
Link To Document