Two Can Keep A Secret: A Distributed Architecture for Secure Database Services
By Gagan Aggarwal, Mayank Bawa, Prasanna Ganesan, Hector Garcia-Molina, Krishnaram Kenthapadi, Rajeev Motwani, Utkarsh Srivastava, Dilys Thomas, Ying Xu. Conference on Innovative Data Systems Research, 2005
338 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/306d84305a1e2510e2e123502b4a04f1f690e1f0
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Sabrina De Capitani di Vimercati
- Sergio Angel Marti
- Pierangela Samarati
- Sara Foresti
- Sushil Jajodia
- Stefano Paraboschi
- Hector Garcia-Molina
- Charu C. Aggarwal
Citations in the corpus
- Query Execution Assurance for Outsourced Databases (2005, background): “Ultimately, we believe this e(cid:11)ort and others to bring the \database as a service" paradigm one step closer to being a viable secure alternative for data management.”
- Taxonomy of trust: Categorizing P2P reputation systems (2006, background): “Separating sensitive data from subject identities, or using legally binding strict privacy policies may be sufficient [12–14].”
- Over-encryption: Management of Access Control Evolution on Outsourced Data (2007, background): “Other proposals have investigated the use of partitioning, adopting a distributed architecture to allow an organization to outsource its data management to two untrusted servers while preserving data privacy [1].”
- A comprehensive review on privacy preserving data mining (2015, unknown): “Aggarwal et al. (2005) discussed data encryption based methods, which caused a large overhead in query processing.”