期刊论文

英文

Security and Communication Networks

1939-0114

2021

2021

5556634:1-5556634:8

10.1155/2021/5556634

National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61972205, U1836208, U1836110]; National Key R&D Program of China [2018YFB1003205]; Priority Academic Program Development (PAPD) of Jiangsu Higher Education Institutions Fund; Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET) Fund, China; Ministry of Science and Technology (MOST), TaiwanMinistry of Science and Technology, Taiwan [108-2221-E-259-009-MY2, 109-2221-E-259-010]

本校为其他机构

As more and more image data are stored in the encrypted form in the cloud computing environment, it has become an urgent problem that how to efficiently retrieve images on the encryption domain. Recently, Convolutional Neural Network (CNN) features have achieved promising performance in the field of image retrieval, but the high dimension of CNN features will cause low retrieval efficiency. Also, it is not suitable to directly apply them for image retrieval on the encryption domain. To solve the above issues, this paper proposes an improved CNN-based hashing method for encrypted image retrieva...