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With the growing popularity of cloud computing, more and more
users are willing to outsource their private data to the cloud. To ensure the
security of data, data owners usually encrypted their private data before outsourcing
them to the cloud server. Though data encryption improves the security of data,
it increases the difficulty of data operating. This study focuses on the search
of encrypted images in the cloud and proposes an efficient similarity retrieval
scheme over encrypted images. The proposed scheme enables data owners to outsource
their personal images and the content-based image retrieval service to the cloud
without revealing the actual content of the image database to the cloud. The
proposed scheme in this study supports the global feature based image retrieval
methods under the Euclidean distance metric. Besides, rigorous security analysis
and extensive experiments show that the proposed scheme is secure and efficient.
