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The complexity of a data privacy protection algorithm

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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