Cloud based Image Processing Services Using Secure Multiparty Computation
Searchable Encryption (SE) schemes have gained significant attention in providing security and privacy for cloud data. Existing SE approaches enable multiple users to perform search operations using schemes like Broadcast Encryption and Attribute-Based Encryption (ABE). However, these schemes lack support for multiple users to search over the encrypted data of multiple owners. Moreover, approaches involving a Proxy Server (PS) impose a heavy computational burden due to repeated query encryption for transformation purposes. To address these limitations, this project proposes a novel secure proxy server approach that enables search operations without query transformation, alleviating the computational burden on the PS. The proposed approach employs the Euclidean distance similarity method to provide users with the top-k relevant documents for their queries. Extensive experiments were conducted to evaluate the efficiency of the proposed approach in terms of search time and accuracy. The results demonstrate that the secure proxy server approach outperforms existing methods, achieving faster search times and improved accuracy. The elimination of query transformation contributes to the reduction of computational overhead on the PS, leading to enhanced scalability and user experience in multi-user environments
Article Details
Unique Paper ID: 161168

Publication Volume & Issue: Volume 10, Issue 2

Page(s): 847 - 851
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