Privacy protection method for composite sensitive attribute based on semantics similarity and multi-dimensional weighting
Shuangyin Liu · Journal of Computer Applications · 2011
In view of a large number of privacy disclosure issues when using k-anonymity method directly for multi-sensitive attribute data publishing,a joint privacy-sensitive properties preserving algorithm based on semantic similarity and multidimensional weighting was proposed.This algorithm realized security protection of the joint-sensitive property value and the semantic diversity of the privacy group with the help of the semantic similarity anti-clustering principle and counter-sensitive property value.According to different application needs,data privacy protection of different extent was provided.The experimental results show that this method can effectively protect data privacy and enhance data security and practicality.