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Date: | Fri, 19 Apr 2013 09:14:58 -0400 |
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*_Notice and Invitation_*
Oral Defense of Doctoral Dissertation
The Volgenau School of Engineering, George Mason University
Meixing Le
Bachelor of Science, Fudan University, 2004
Master of Science, Fudan University, 2007
*Secure Cooperative Data Access in Multi-Cloud Environment*
Wednesday, May 1^st 2013, 9:00AM
Research Hall, Room 401
All are invited to attend.
*_Committee_*
Dr. Sushil Jajodia, Co-Chair
Dr. Krishna Kant, Co-Chair
Dr. Angelos Stavrou
Dr. Massimiliano Albanese
Dr. Duminda Wijesekera
*_Abstract_*
To implement desired bushiness services, certain queries against useful
information need to be executed in a multi-cloud environment where the
data is owned and managed by multiple collaborating enterprises. In such
cases, authorization rules over the joins of relational data are given
so that parties selectively share information with each other.
Based on that, we define the notion of rule consistency and devise an
algorithm to ensure it even in case of rule changes. In addition, not
all the authorization rules can be safely enforced among existing
parties. To that end, we propose a bottom-up algorithm to systematically
check the rule enforceability for each rule and a mechanism to generate
a query execution plan that is consistent with the authorization rules
for each incoming authorized query. For unenforceable rules, trusted
third parties are needed and it is important to minimize the interaction
with third parties. We define cost models and formulate the minimization
problem. We show the hardness of this problem and propose efficient
algorithm to search solutions. With extensive simulation evaluations,
the results show the effectiveness of the approach.
A copy of this doctoral dissertation is on reserve at the Johnson Center
Library.
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