Secure Query Processing of Outsourced Data Using Privacy Homomorphism: kNN and Distance Decoding Algorithm
Abstract: Cloud computing and data outsourcing helps with more convenient ways of working to different types of business enterprises. There is cloud, data owner and customers/clients. Query of data users and privacy of the data owners are most importance part of modern days cloud computing and data management. From long time lot of people researched on cloud computing and cloud security because query processing preserves data privacy of the data owners as well as clients. To provide more security features a PH technique is used. Privacy Homomorphism (PH) is emphasizes to resolve the privacy of query processing from client side and cloud with the kNN on R-tree index query and distance re-coding algorithm. PH leverages performance of cloud computing
Keywords: Privacy homomorphisms, Encrypted data processing, Decryption, privacy preserving process
How to Cite?: Rupali S. Khachane, "Secure Query Processing of Outsourced Data Using Privacy Homomorphism: kNN and Distance Decoding Algorithm", Volume 3 Issue 12, December 2014, International Journal of Science and Research (IJSR), Pages: 1215-1219, https://www.ijsr.net/getabstract.php?paperid=SUB14564, DOI: https://dx.doi.org/10.21275/SUB14564