Welcome!
To use the personalized features of this site, please log in or register.
If you have forgotten your username or password, we can help.
|
 |
Privacy-Oriented Data Mining by Proof Checking
| |
|
Privacy-Oriented Data Mining by Proof Checking
Amy Felty4 and Stan Matwin5 
| (4) |
SITE, University of Ottawa, K1N 6N5 Ottawa, Ontario, Canada |
| (5) |
LRI — Bôt 490, Université Paris-Sud, 91405 ORSAY CEDEX, France |
Abstract
This paper shows a new method which promotes ownership of data by people about whom the data was collected. The data owner
may preclude the data from being used for some purposes, and allow it to be used for other purposes. We show an approach,
based on checking the proofs of program properties, which implements this idea and provides a tool for a verifiable implementation
of the Use Limitation Principle. The paper discusses in detail a scheme which implements data privacy following the proposed
approach, presents the technical components of the solution, and shows a detailed example. We also discuss a mechanism by
which the proposed method could be introduced in industrial practice.
On leave from SITE, University of Ottawa, Canada
Fulltext Preview (Small, Large)
 References secured to subscribers.
|
|
|
|
|
|