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New Paradigm of Inference Control with Trusted Computing.

Authors :
Hutchison, David
Kanade, Takeo
Kittler, Josef
Kleinberg, Jon M.
Mattern, Friedemann
Mitchell, John C.
Naor, Moni
Nierstrasz, Oscar
Pandu Rangan, C.
Steffen, Bernhard
Sudan, Madhu
Terzopoulos, Demetri
Tygar, Doug
Vardi, Moshe Y.
Weikum, Gerhard
Barker, Steve
Ahn, Gail-Joon
Yang, Yanjiang
Li, Yingjiu
Deng, Robert H.
Source :
Data & Applications Security XXI; 2007, p243-258, 16p
Publication Year :
2007

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783540735335
Database :
Complementary Index
Journal :
Data & Applications Security XXI
Publication Type :
Book
Accession number :
33148679
Full Text :
https://doi.org/10.1007/978-3-540-73538-0_18