Practical server privacy with secure coprocessors

By Sean W. Smith, D. Safford. 2001

127 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.

XPIR : Private Information Retrieval for Everyone (2016, methodology): “It is possible to transform an ORAM protocol into a PIR protocol using a trusted hardware module (e.g. see [25]).”
Scalable and Private Media Consumption with Popcorn (2016, background): “Finally, one can improve performance with trusted hardware [15, 57, 67, 93, 101]: a client connects to a secure”
Terra: a virtual machine-based platform for trusted computing (2003, background): “Some of these applica tions include privacy-preserving databases [54, 36], secu re”
Revisiting the Computational Practicality of Private Information Retrieval (2011, unknown): “[41] similarly explore preprocessing for reducing server-side computation.”
EnclaveDB: A Secure Database Using SGX (2018, background): “Trusted hardware: Several database designs have been proposed that incorporate secure coprocessors [44], [45], [46] to securely process sensitive data.”
TrustedDB: A Trusted Hardware-Based Database with Privacy and Data Confidentiality (2011, background): “Smith and Safford [34] uses multiple SCPUs to provide key-based search.”
On the Computational Practicality of Private Information Retrieval (2006, background): “We believe it is important to explore protocols for single-server PIR in the presence o f server-side trusted hardware [15, 69].”