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 :
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