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Security and Communication Networks - Volume 2017 2017, Article ID 7695751, 11 pages -

Research ArticleSchool of Electronics and Information Engineering, Xi’an Jiaotong University, Xi’an 710049, China

Correspondence should be addressed to Xiaolin Gui

Received 30 April 2016; Revised 26 January 2017; Accepted 26 March 2017; Published 14 May 2017

Academic Editor: Zonghua Zhang

Copyright © 2017 Pan Yang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Homomorphic encryption can protect user’s privacy when operating on user’s data in cloud computing. But it is not practical for wide using as the data and services types in cloud computing are diverse. Among these data types, digital image is an important personal data for users. There are also many image processing services in cloud computing. To protect user’s privacy in these services, this paper proposed a scheme using homomorphic encryption in image processing. Firstly, a secret key homomorphic encryption IGHE was constructed for encrypting image. IGHE can operate on encrypted floating numbers efficiently to adapt to the image processing service. Then, by translating the traditional image processing methods into the operations on encrypted pixels, the encrypted image can be processed homomorphically. That is, service can process the encrypted image directly, and the result after decryption is the same as processing the plain image. To illustrate our scheme, three common image processing instances were given in this paper. The experiments show that our scheme is secure, correct, and efficient enough to be used in practical image processing applications.

Autor: Pan Yang, Xiaolin Gui, Jian An, and Feng Tian



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