Multi Keyword Searching Techniques over Encrypted Cloud Data

P. Shanmuga Priya, R. Sugumar

Abstract: Cloud computing is the long dreamed vision of computing as a utility, where cloud customers can remotely store their data into the cloud so as to enjoy the on-demand high quality applications and services from a shared pool of configurable computing resources. However, to protect data privacy, sensitive cloud data has to be encrypted before outsourced to the commercial public cloud, which makes effective data utilization service a very challenging task. In this paper, we focus on addressing data privacy issues using SSE. It observes that server-side ranking based on order-preserving encryption (OPE) inevitably leaks data privacy. To avoid leakage, TRSE scheme that supports top-k multi-keyword retrieval. In TRSE, vector space model and Fully homomorphic encryption (FHE) are employed. The vector space model helps to provide sufficient search accuracy, and the Fully Homomorphic encryption is a special type of encryption system that permits arbitrarily complex computation on encrypted data. It enables users to involve in the ranking while the majority of computing work is done on the server side by operations only on cipher text. It provide high security and efficiency.

Keywords: Cloud, data privacy, ranking, similarity relevance, Fully homomorphic encryption, vector space model

How to Cite?: P. Shanmuga Priya, R. Sugumar, "Multi Keyword Searching Techniques over Encrypted Cloud Data", Volume 3 Issue 3, March 2014, International Journal of Science and Research (IJSR), Pages: 410-412, https://www.ijsr.net/getabstract.php?paperid=20131128, DOI: https://dx.doi.org/10.21275/20131128