Monitoring information leakage during query aggregation

Authors:
Sastry Konduri;Brajendra Panda;Wing-Ning Li
Affiliations:
Computer Science and Computer Engineering Department, University of Arkansas, Fayetteville, AR;Computer Science and Computer Engineering Department, University of Arkansas, Fayetteville, AR;Computer Science and Computer Engineering Department, University of Arkansas, Fayetteville, AR
Venue:
ICDCIT'07 Proceedings of the 4th international conference on Distributed computing and internet technology
Year:
2007

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Abstract

Data sharing and information exchange have grown exponentially with the information explosion in the last few years. More and more data are being shared among different types of users residing in different places, performing different kinds of tasks for different kinds of applications. Privacy control is a major issue for today's data managers. In this research, we presented two models to solve the information leakage problem occurring during query aggregation. The first model is the base model that uses a single inference dispersion value for each user where as the second model uses multiple inference dispersion values for each user with a view to provide more accessibility.