Conceptual Graph: Shrewd method of attaining Semantic Exploration over Encrypted Data

Abstract

Cloud Computing is an IT model that aids universal access to share lake of configurable system capitals. The benefit of cloud computing is its less cost and the limitation is its safety.
Searchable encryption is an important area which has to be focused on Cloud Computing. The most efficient and reliable is cipher text search schemes which focuses on keyword, or shallow semantic parsing but also faces the problem of its inefficiency of satisfying user search intention. In order, to make semantic search smarter we have come up with an idea of context-aware search scheme.
In this paper we introduced conceptual graphs as knowledge representation tool. Based on the demand we have introduced two schemes as PRSCG and PRSCH-TF. To avoid the problem with the single keyword we have come up with an idea of multi keyword ranked search over encrypted cloud data and by concentrating on PRSCG and PRSCG-TF to resolve the problem of privacy-preserving smart semantic search based on CGS. In this paper, we in deep analyzed the privacy and efficiency of proposed scheme and found it to be efficient enough.