Privacy-Preserving Multi-Keyword Ranked Search over Encrypted Cloud Data

By Ning Cao, Ming Li, Kui Ren, Wenjing Lou. IEEE Transactions on Parallel and Distributed Systems, 2014

576 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

ADMM Based Privacy-Preserving Decentralized Optimization (2017, background): “This definition of privacy is inspired by the privacypreservation definitions in [4], [39], and [51]–[54] which take advantages of the fact that if a system of equations has infinite number of solutions, it is impossible to derive the exact value of the original input data from the output data.”
Secure and Privacy-Preserving Consensus (2017, background): “subplot b). Deﬁnition 1 requires that an honest-but-curious adversary cannot even ﬁnd a range for a private value and thus is more stringent than the privacy preservation deﬁnition considered in [34]–[36] which deﬁnes privacy preservation as the inability of an adversary to uniquely determine the pr”
Blockchain based searchable encryption for electronic health record sharing (2019, methodology): “Such schemes include multi-keyword SSE schemes [4-7], dynamic SSE schemes [8-11] and verifiable SSE schemes [12-16].”