| Abstract |
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Cloud computing is a new auspicious technology and it greatly accelerates the development of large-scale data storage, computing and distribution. With the benefit of cloud computing, data owners are driven to outsource their penetrating and complex data from local machines to the public cloud due cost, efficiency and less hands on management. However, security and privacy become major security issues when data owners outsource their private data onto untrusted public cloud servers. Hence, to protect data, penetrating data has to be encrypted before outsource onto the cloud system. However, traditional keyword plain text search is obsolete. Hence, achieving encrypted cloud data search is utmost important. Existing searching techniques over encrypted cloud data considers only exact or fuzzy keyword or multi-keyword, but not semantic and synonym based ranked searching using multi-keyword. Hence, how to facilitate an effective searchable system to support semantic and synonym query is still challenging issue. This paper defines and proposes an effective solution to solve the problem of semantic multi-keyword synonym query over encrypted cloud data by retrieving top k scored documents, termed as SMSRQE. In this SMSRQE, keywords and corresponding synonyms are mapped to design multi-keyword synonym dictionary. Hence, it gives accurate search results for data user interested keywords or synonyms or both. To find semantically related documents, we used Latent Semantic Index (LSI). Our experiments show the SMSRQE methodology gives effective, efficient and accurate search results over the current solutions. |
