@Article{jcs.2020.09703,
AUTHOR = {Xiangshu Ou, Mingfang Jiang, Shuai Li, Yao Bai},
TITLE = {Image Feature Computation in Encrypted Domain Based on Mean Value},
JOURNAL = {Journal of Cyber Security},
VOLUME = {2},
YEAR = {2020},
NUMBER = {3},
PAGES = {123--130},
URL = {http://www.techscience.com/JCS/v2n3/40140},
ISSN = {2579-0064},
ABSTRACT = {In smart environments, more and more teaching data sources are 
uploaded to remote cloud centers which promote the development of the smart 
campus. The outsourcing of massive teaching data can reduce storage burden and 
computational cost, but causes some privacy concerns because those teaching 
data (especially personal image data) may contain personal private information. 
In this paper, a privacy-preserving image feature extraction algorithm is 
proposed by using mean value features. Clients use block scrambling and chaotic 
map to encrypt original images before uploading to the remote servers. Cloud 
servers can directly extract image mean value features from encrypted images. 
Experiments show the effectiveness and security of our algorithm. It can achieve 
information search over the encrypted images on the smart campus.},
DOI = {10.32604/jcs.2020.09703}
}