Efficient multi-keyword similarity search over encrypted cloud documents

Multi-keyword Similarity Search over Encrypted Cloud Data

Searchable encryption allows one to upload encrypted documents on a remote honest-but-curious server and query that data at the server itself without requiring the documents to be decrypted prior to searching. In this work, we propose a novel secure and efficient multi-keyword similarity searchable encryption (MKSim) that returns the matching data items in a ranked ordered manner. Unlike all pr...

Secure Multi-keyword Similarity Search Over Encrypted Cloud Data Supporting Efficient Multi-user Setup

Searchable encryption allows one to store encrypted documents on a remote honest-butcurious server, and query that data at the server itself without requiring the documents to be decrypted prior to searching. This not only protects the data from the prying eyes of the server, but can also reduce the communication overhead between the server and the user and local processing at the latter. Previ...

Adaptive Multi-keyword Ranked Search Over Encrypted Cloud Data

An Efficient and Privacy-Preserving Semantic Multi-Keyword Ranked Search over Encrypted Cloud Data

As so much advantage of cloud computing, more and more data owners centralize their sensitive data into the cloud. With a mass of data files stored in the cloud server, it is important to provide keyword based search service to data user. However, in order to protect the data privacy, sensitive data is usually encrypted before outsourced to the cloud server, which makes the search technologies ...

Lightweight Efficient Multi-keyword Ranked Search over Encrypted Cloud Data using Dual Word Embeddings

Cloud computing is emerging as a revolutionary computing paradigm which provides a flexible and economic strategy for data management and resource sharing. Security and privacy become major concerns in the cloud scenario, for which Searchable Encryption (SE) technology is proposed to support efficient retrieval of encrypted data. However, the absence of lightweight ranked search is still a typi...