Privacy Preserving and Fast Record Search and Retrieval Scheme over Encrypted Cloud Data

Abstract

Nowadays, cloud computing becomes efficient and flexible with reduced cost and utility of on-demand high qualityapplications and services, so internet usage strongly relies on cloud for privacy preserving and fast Records  retrieval. For consumers, they want to find the most relevant products or Records , which is highly desirable in the “pay-as-you use” cloud computing paradigm. Sensitive Records  is encrypted before outsourced to cloud. Although Substitutable encryption scheme has been developed to conduct retrieval over encrypted Records , these schemes only support exact or fuzzy keyword Substitute, mainly evaluate the similarity of keywords from the structure but the semantic relatedness is not considered. This work focuses on realizing secure semantic Substitute through query keyword semantic extension based on the co-occurrence probability of terms, the semantic relationship library is constructed to record the semantic similarity between keywords. To achieve Proficiency  of the Substitute method we enhance the TFIDF algorithm by extending the keyword set with semantic words or natural language words for the keywords. This will ultimately support Records retrieval on querying semantic query. Even when user doesn't know exact or synonym of keywords of encrypted Records , he can try Substituting it by its meaning in natural language. WordNet method makes the Substitute scheme even more reliable and better.