Efficient multiple keywords search in encrypted cloud data for manufacturing enterprises

Abstract

In cloud environment, cloud storage system is the rapid growing trend due to the ease of access and reduction of management cost. The cloud storage system provides essential benefits by enabling the cloud users to store their enormous data on cloud. The data privacy and security needs to be addressed in the cloud storage to attain better performance during the data retrieval. The existing Enhanced semantic feature extraction (Term Frequency-Inverse Document Frequency) E-TFIDF method extracts the required data from cloud. The secured data access on cloud platform newlineremained unaddressed. The existing Searchable Encrypted Data File Sharing (SEDFS) scheme was implemented with finite and accurate keyword search but it required to be improved with the indexing process. The existing Two- Round Searchable Encryption (TRSE) Scheme was introduced with homomorphic encryption and vector space model for retrieving the top-k multi-keyword in a secured manner. In addition, existing adaptively secure Searchable Symmetric Encryption (SSE) scheme was implemented to provide better results in the privacy preserved keyword search, data storage and retrieval of data in cloud platform. In order to overcome the above mentioned existing limitations, the proposed research works is concentrated on secured dynamic multi keyword ranked search on encrypted cloud platform. The first work is concentrated on Secured Hybrid Search (SHS) technique for secured multi keyword search on encrypted cloud platform. newlineThe class based index lists for every document are created by using category based indexing approach. Then the files and index list are encrypted and stored in cloud server for employs the cloud user in gram based search request while sending the search query to the cloud server for accessing the file. newline newline