Research on Data Dependency Problem in k-anonymity Data
Tao Wan, Guohua Liu · Jisuanji gongcheng · 2012
(Abstract )The widely use of the kanonymity privacy protectio n model in the privacy protection field yields has a large number of kanonymity data. For researching on the data dependency in ka nonymity data, this paper defines an Extended Functional Dependencies(EFDs), which extends the value of the right properties get from the certain set, instead of the equality in classic function dependencies. Application result shows that EFDs not only covers classic functional dependency, horizontal function dependencies, and metric functional dependencies, but also can describe the constraints of the kanonymity data from perspectiv e of data integrity and instruct the selection of quasiidentifier in kanonymity privacy protection