Authorized Private Keyword Search over Encrypted Data in Cloud Computing
By Ming Li, Shucheng Yu, Ning Cao, Wenjing Lou. IEEE International Conference on Distributed Computing Systems, 2011
417 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Information Systems
View Paper: https://www.semanticscholar.org/paper/09136517bb853b7e9ff3be93036ea10f5333c969
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
In Information Systems
- Kui Ren
- Wenjing Lou
- Ming Li
- Ning Cao
- Samee Ullah Khan
- Assad Abbas
- Chin-chen Chang
- Kim-Kwang Raymond Choo
Citations in the corpus
- VABKS: Verifiable attribute-based keyword search over outsourced encrypted data (2014, neutral): “, [23]–[26]) have been proposed to support 978-1-4799-3360-0/14/$31.”
- Blockchain based searchable encryption for electronic health record sharing (2019, methodology): “prior work on searchable encryption, such as [17].”
- A Review on the State-of-the-Art Privacy-Preserving Approaches in the e-Health Clouds (2014, background): “The approaches presented in [46], [53], and [54] allow searching over the encrypted EHRs.”
- Privacy-Preserving Multi-Keyword Ranked Search over Encrypted Cloud Data (2014, background): “Although some recent designs have been proposed to support Boolean keyword search [16], [17], [18], [19], [20], [21], [22], [23], [24] as an attempt to enrich the search flexibility, they are still not adequate to provide users with acceptable result ranking functionality (see Section 7).”