Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
11-2006
Abstract
The database server is a crucial bottleneck in traditional inference control architecture, as it enforces highly computation-intensive auditing for all users who query the protected database. As a result, most auditing methods, though rigorously studied, can never be implemented in practice for protecting largescale real-world database systems. To shift this paradigm, we propose a new inference control architecture that will entrust inference control to each users platform, provided that the platform is equipped with trusted computing technology. The trusted computing technology is designed to attest the state of a users platform to the database server, so as to assure the server that inference control could be enforced as expected. A generic protocol is proposed to formalize the interactions between the users platform and database server. Any existing inference control technique can work with our protocol, for which the security properties are formally proven. Since each user’s platform enforces inference control for its own queries, our solution avoids the bottleneck.
Keywords
Inference control, trusted computing, auditing, security protocol
Discipline
Information Security
Research Areas
Cybersecurity
Publication
Data and Applications Security XXI: 21st Annual IFIP WG 11.3 Working Conference on Data and Applications Security, Redondo Beach, CA, July 8-11, 2007: Proceedings
Volume
4602
First Page
243
Last Page
258
ISBN
9783540735380
Identifier
10.1007/978-3-540-73538-0_18
Publisher
Springer
City or Country
Berlin
Citation
YANG, Yanjiang; LI, Yingjiu; and DENG, Robert H..
New Paradigm of Inference Control with Trusted Computing. (2006). Data and Applications Security XXI: 21st Annual IFIP WG 11.3 Working Conference on Data and Applications Security, Redondo Beach, CA, July 8-11, 2007: Proceedings. 4602, 243-258.
Available at: https://ink.library.smu.edu.sg/sis_research/611
Copyright Owner and License
Publisher
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1007/978-3-540-73538-0_18