Secure keyword-based Ranked Semantic Search over Encrypted Cloud Data

Abstract

Abstract. With the advent of cloud computing, many organizations and individuals are interested in outsourcing their complex data management to the public cloud for economic savings and ease of access. As sensitive information may have to be encrypted before outsourcing, the data utilization service based on plaintext keyword search is not suitable for the encrypted cloud data. In this paper, we propose a solution for ranked semantic keyword search (RSS) over encrypted cloud data. With the design of semantic extension, the proposed scheme could return not only the exactly matched files, but also the files including the terms semantically related to the query keyword. In the proposed scheme, the data owner generates a piece of file metadata for each file, and uploads the encrypted metadata set and file collection to the cloud server. After receiving a query request, the cloud server first finds out the keywords that are semantically related to the query keyword according to SRL. Then both the query keyword and the extensional words are used to retrieve the files. Eventually, the result files are returned in order according to the total relevance score. Detailed security analysis shows that our solution is privacy-preserving and secure under the previous searchable symmetric encryption (SSE) security definition. Experimental evaluation demonstrates the efficiency and effectives of the scheme.

A secure neural network‐based ranking approach for document searching in cloud data center

“…The keywords of the query words are kept in a dictionary, and the identification of a particular keyword is performed on the basis of its location in the dictionary. 47 Let us considered that n number of keywords that are coming from DO are being sorted using MESE. During the sorting process, the position of the keywords in the dictionary was kept same.…”

“…In MRSE, the foremost step is to build a dictionary of incoming words from the data owner (DO). The keywords of the query words are kept in a dictionary, and the identification of a particular keyword is performed on the basis of its location in the dictionary 47 . Let us considered that n number of keywords that are coming from DO are being sorted using MESE.…”

MSIGT: Most Significant Index Generation Technique for cloud environment

“…Ranked searchable encryption schemes are explored in [11], [15], [16] over encrypted cloud data. The secure ranked keyword search schemes are stronger security definition compared to SSE.…”

“…The secure ranked keyword search schemes are stronger security definition compared to SSE. The Order Persevering Mapping(OPM) technique is used in [11], [15], [16] for ranking the searched file over encrypted cloud data. The OPM technique protects the sensitive score information from the cloud provider.…”

“…OPM method is highly efficient but they lead to collisions in the network and increases computation cost. One-to-many OPM technique is presented in [15], [16] for secure term frequency.Sun et al, [15] developed a Secure Ranked Semantic Keyword Search (RSS) over encrypted cloud data. A fuzzy solution contributes to search the semantic keyword on encrypted cloud data.…”