Secure and Efficient Content-Based Image Retrieval in Cloud Computing
Pages : 622-626
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Abstract
Many cloud stages rise to meet earnest requirements for extensive volume of individual image store, sharing and search. In fact most of those images contain sensitive secure data and individuals’ protection concerns ruin their investment into untrusted services, the present cloud stages give little support to image security assurance that is privacy protection. Confronting extensive scale images from numerous clients i.e. user’s, it is extremely challenging for the cloud to keep up the record structure and schedule parallel calculation without learning up anything about the image contents and indices. In this work, present : a Privacy-protecting Image Search framework on Cloud, or, in other words towards possible cloud services which give secure content based extensive scale image search with fine-grained access control using global color algorithm. Users can search on others’ images on the off chance that they are approved by the image owners. Larger part of the computationally serious part is handled by the cloud, and a querier can now simply send the query and get the search outcome. Specially, to manage enormous images, will designed our framework suitable for distributed and parallel calculation and introduce several optimizations with further facilitate the search procedure.
Keywords Cloud Computing,Large-scale Image Search, Privacy Protection,Encryption