ENHANCED SEMANTIC-AWARE MULTI-KEYWORD & CLOUD DATARANKED SEARCH SCHEME OVER ENCRYPTED CLOUD DATA

Traditional searchable encryption schemes based on the Term Frequency-InversedfDocument Frequency (TF-IDF) model adopt the presence of keywords to measure the relevance of documents to queries, which ignores the latent semantic meanings that are concealed in the context. Latent Dirichlet Allocation (LDA) topic model can be utilized for modeling the semantics among texts to achieve semantic-aware multi-keyword search. .. ADVANTAGES: · LDA topic model to searchable encryption over cloud data and enable sematic-aware privacy preserving ranked searches. · A feature keyword extraction method and for the first time apply the query likelihood model to searchable encryption over cloud data, which can be combined with the LDA topic model.

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