An efficient technique for Multikeyword based Search and Retrieval of cloud data

Abstract

Enormous amount of outsource information are stored and retrieved across the global. During that process some difficulties are raised to maintain security while providing retrieval and searching procedures. Due to security concerns, sensitive data is protected by encryption before moving to the cloud. Normally precise information retrieval is difficult over encrypted cloud data. To overcome these issues, we propose an Enhanced Multikeyword Top-k Search and Retrieval (EMTR) scheme; it achieves good accuracy and high efficiency. First, the document can be efficiently estimated using inverted indexing. Then the user could query by any number of queried keywords appearing in the document which evaluate the relevance scoring of the document and to the search query to retrieve relevant information from cloud storage. Furthermore, we establish a new ranking procedure to retrieve highest ranked documents (i.e., most relevant) in the data set that brings considerable speedup over inverted weighted indexing. Our analysis demonstrates that the proposed scheme achieve high accuracy, improved search quality and efficient data retrieval with high speed.