A Verifiable Semantic Searching Scheme By Optimal Matching Over Encrypted Data In Public Cloud Java

A Verifiable Semantic Searching Scheme By Optimal Matching Over For verifiability, we explore the duality theorem of lp to design a verification mechanism using the intermediate data produced in matching process to verify the correctness of search results. security analysis demonstrates that our scheme can guarantee verifiability and confidentiality. We propose a secure verifiable semantic searching scheme that treats matching between queries and documents as a word transportation optimal matching task. therefore, we investigate the fundamental theorems of linear programming (lp) to design the word transportation (wt) problem and a result verification mechanism.

Smart Cloud Search Services Verifiable Keyword Based Semantic Search This post proposes a secure and verifiable semantic search scheme. for semantically optimal matching of ciphertexts, we formulate a word transfer (wt) problem that computes the minimum word transfer cost (mwtc) as the similarity between a query and a document, and transform the wt problem into a random linear programming (lp ) suggests a safe. We provide a safe, verifiable semantic search approach that views the query document matching problem as a word transportation optimal matching problem. in order to create the word transportation (wt) issue and a method for outcome verification, we go into the fundamental theorems in linear programming (lp). Vikas group of institutions, a.p., india. abstract — the focus of this dissertation is to design secure and e cient schemes to address essential data utilization functions over encrypted data in cloud computing. in this paper, propose a secure verifiable semantic searching scheme. In this paper, we combine conditional proxy re encryption with homomorphic encryption to construct a lattice based identity based homomorphic conditional proxy re encryption for secure big data computing in cloud environment.

Semantic Search Scheme By Optimal Matching Over Encrypted Data Datapro Vikas group of institutions, a.p., india. abstract — the focus of this dissertation is to design secure and e cient schemes to address essential data utilization functions over encrypted data in cloud computing. in this paper, propose a secure verifiable semantic searching scheme. In this paper, we combine conditional proxy re encryption with homomorphic encryption to construct a lattice based identity based homomorphic conditional proxy re encryption for secure big data computing in cloud environment. For verifiability, we explore the "," duality theorem of lp to design a verification mechanism using the intermediate data produced in matching process to verify the correctness "," of search results. security analysis demonstrates"," that our scheme can guarantee verifiability and confidentiality. We propose a context enhanced semantic searchable encryption (cesse) scheme. cesse supports accurate semantic search with context enhanced encrypted embeddings. ann indexes on encrypted embeddings enable fast retrieval in encrypted data. experiments show cesse outperforms existing schemes in accuracy and efficiency. Treating the matching between queries and documents as an optimal matching task, we explore the fundamental theorems of linear programming (lp) to propose a se cure verifiable semantic searching scheme that performs semantic optimal matching on the ciphertext. Treating the matching between queries and documents as an optimal matching task, we explore the fundamental theorems of linear programming (lp) to propose a secure verifiable semantic searching scheme that performs semantic optimal matching on the cipher text.

A Verifiable Semantic Searching Scheme By Optimal Matching Over For verifiability, we explore the "," duality theorem of lp to design a verification mechanism using the intermediate data produced in matching process to verify the correctness "," of search results. security analysis demonstrates"," that our scheme can guarantee verifiability and confidentiality. We propose a context enhanced semantic searchable encryption (cesse) scheme. cesse supports accurate semantic search with context enhanced encrypted embeddings. ann indexes on encrypted embeddings enable fast retrieval in encrypted data. experiments show cesse outperforms existing schemes in accuracy and efficiency. Treating the matching between queries and documents as an optimal matching task, we explore the fundamental theorems of linear programming (lp) to propose a se cure verifiable semantic searching scheme that performs semantic optimal matching on the ciphertext. Treating the matching between queries and documents as an optimal matching task, we explore the fundamental theorems of linear programming (lp) to propose a secure verifiable semantic searching scheme that performs semantic optimal matching on the cipher text.