Abstract: Cloud computing has emerging as a pattern for data outsourcing and it provide high-quality of data services. It concerns of very sensitive information on cloud and it causes potentially the privacy problems. Encryption protects data security to some level, but at the cost of compromised efficiency. Searchable symmetric encryption going allows retrieval of encrypted data above cloud. Here focus on addressing data privacy problems using. For the first time, formulate the privacy issue from the characteristic of similarity relevance and scheme robustness. Here observe that server-side position based on order preserving encryption inevitably disclosures data privacy. To eliminate the leakage, I propose a two-round searchable encryption scheme that supports multikeyword top-key retrieval in the cloud. In TRSE, Employ a vector model and holomorphic encryption. The vector space model helps to provide sufficient search correctness, and the holomorphic encryption it enables users to involve in the ranking while the major of computing work is done on the server side by operations only on cipher text .As a result, the information leakage here focus on addressing data privacy problems using . For the first time, formulate the privacy issue from the characteristic of similarity relevance and scheme robustness. Here observe that server-side position based on order preserving encryption (OPE) inevitably disclosures data privacy Addressing data privacy problems using Searchable Symmetric Encryption in Cloud Data and its Relative services with concern to leakage avoidance for efficient query solution retrieval.
Keywords: cloud, data privacy, holomorphic encryption, preserving encryption.
Title: SURVEY ON: CLOUD DATA RETRIEVAL FOR MULTIKEYWORD BASED ON DATA MINING TECHNOLOGY
Author: Kavya G, K.S. Rajesh
International Journal of Computer Science and Information Technology Research
ISSN 2348-1196 (print), ISSN 2348-120X (online)
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