An anonymity approach satisfying demand of maximum privacy disclosure rate
LU Yan-li · Journal of Yanshan University · 2010
The K-anonymity method can simply and successfully prevent the private information of published table from disclosure.However,the asymmetry character of the sensitive data distribution causes that-anonymity can't satisfy effectively the maximum privacy disclosure rate demand of the view publisher.To solve the problem,formulas of privacy information disclosure measure and information preservation degree are provided,and an anonymity approach satisfying the maximum privacy disclosure rate demand is proposed.The approach generalizes quasi-identifier attributes and meanwhile takes necessary anonymous action on sensitive attributes.The experiment shows that our approach can effectively satisfy the maximum privacy disclosure rate demand of the view publisher.