@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} }