Certain investigations on secure data discovery for outsourced data using fuzzy based semantic search in cloud environment

Abstract

In current decade, cloud computing has become more prevalent and utilized for managing more sensitive data that are stored over cloud storage. While outsourcing the sensitive and private data on to the cloud, security is the major factor to be concentrated in efficient data search using keywords. As is auspicious, security of selective keyword search can be newlineachieved using the powerful cryptographic technique called Encryption. That is, the data that are to be outsourced have to be encrypted before storing it on cloud. Symmetric encryption is used between the data owner and the Customer whereas asymmetric encryption is used between the data owner and the cloud server. In such cases, the data discovery and retrieval has become more stimulating process. However, there are many methodologies developed for searching the encrypted outsourced data from the cloud. newlineIn this research, an efficient data discovery process is focused and enhanced with the developed model called Fuzzy based Semantic Search for Secure Data Discovery (FSS- SDD). A multi-regarded basis called soft justification is used reality estimations of variable broadening some place in the scope of 0 and 1. It used reality regards which goes between absolutely true and false. The soft method of reasoning based semantic request improves newlinethe glancing through comprehension of the end customers. Furthermore, recouping the particular archives for relating search records given by the customer. The model finds the eagerly significant match uses in the semantic similarities which are exact matches are not advantage. Assessing instrument is maintained for decreasing the sham positive rates. By using the proposed FSS-SDD model, the taking care of overhead on new updates is enough diminished and security in data recuperation is guaranteed. The model reduces the processing overheads by reducing the time taken for constructing index files. Semantic matching of keywords is performed for eliminating the type and some other mistakes in the query strings, which