By Topic

The complexity of a data privacy protection algorithm

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)
Shih-Ying Hsu ; Dept. of Comput. Sci., Lakehead Univ., Thunder Bay, ON, Canada ; Ruizhong Wei

To share data with other parties in computer collaboration is an important issue of data security. k-anonymity and ℓ-diversity are used to protect privacy and secure data sharing. It was proved that optimal k-anonymity are NP hard for k ≥ 3 and that there is a polynomial algorithm for optimal 2-anonymity. This paper proves that an optimal 2-diversity is NP hard. Since ℓ-diversity must be ℓ-anonymity, it follows that the ℓ-diversity is NP hard for ℓ ≥ 2. The result shows that finding polynomial algorithm for efficient (but not optimal) ℓ-diversity is important.

Published in:

Computer Supported Cooperative Work in Design (CSCWD), 2011 15th International Conference on

Date of Conference:

8-10 June 2011