Paper Info
Title
Paillier Cryptosystem based Mean Value Computation for Encrypted Domain Image Processing Operations.
Abstract
Due to its large storage facility and high-end computing capability, cloud computing has received great attention as a huge amount of personal multimedia data and computationally expensive tasks can be outsourced to the cloud. However, the cloud being third-party semi-trusted, is prone to information leakage, raising privacy risks. Signal processing in the encrypted domain has emerged as a new research paradigm on privacy-preserving processing over outsourced data by semi-trusted cloud. In this article, we propose a solution for non-integer mean value computation in the homomorphic encrypted domain without any interactive protocol between the client and the service provider. Using the proposed solution, various image processing operations, such as local smoothing filter, un-sharp masking, and histogram equalization, can be performed in the encrypted domain at the cloud server without any privacy concerns. Our experimental results from standard test images reveal that these image processing operations can be performed without pre-processing, without client-server interactive protocol, and without any error between the encrypted domain and the plain domain.
Year
DOI
Venue
2019
10.1145/3325194
ACM Transactions on Multimedia Computing, Communications, and Applications
Keywords
Field
DocType
Encrypted domain,Paillier cryptosystem,cloud computing,secure signal processing (SSP)
Mean value,Computer science,Paillier cryptosystem,Image processing,Computer network,Theoretical computer science,Encryption,Computation
Journal
Volume
Issue
ISSN
15
3
1551-6857
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Mohsin Shah1142.68
Weiming Zhang263.81
Honggang Hu310314.71
Nenghai Yu42238183.33