Scheduled System Maintenance:
On Monday, April 27th, IEEE Xplore will undergo scheduled maintenance from 1:00 PM - 3:00 PM ET (17:00 - 19:00 UTC). No interruption in service is anticipated.
By Topic

Protecting Private Information by Data Separation in Distributed Spatial Data Warehouse

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Gorawski, M. ; Inst. of Comput. Sci., Silesian Univ. of Technol., Gliwice ; Bularz, J.

Both transactional and analytical systems store data, which being accessible to unauthorized persons may result in privacy violation. This issue has become especially important nowadays, due to more restrictive legislation concerning personal data protection and preserving data privacy. We introduce relation decomposition as a method to preserve the data confidentiality in distributed spatial data warehouses. Data separation between nodes of distributed system can easily protect data privacy without requiring encrypting sensitive data. Using the relation decomposition strongly reduces the possibility of a disclosure of private information contained in data warehouse. The article presents how specified secure policy can be implemented into the data warehouse system as well as how analytical applications can retrieve protected data from the database. Finally, we present test results verifying efficiency of the latter operations including comparison between relation decomposition and the most popular method of preserving data privacy i.e., data encryption using symmetric encryption algorithms

Published in:

Availability, Reliability and Security, 2007. ARES 2007. The Second International Conference on

Date of Conference:

10-13 April 2007