PRIVACY INFORMATION OF ELECTRONIC MEDICAL RECORD BASED ON IMPROVED ALGORITHM OF MULTI-DIMENSIONAL BUCKET GROUPING TECHNOLOGY
The three algorithms based on multi-dimensional barrel grouping technology increase the hidden rate of published data because of more diversities between sensitive properties when the number of sensitive attributes increases.Moreover,it is easy to be attacked by background knowledge when the algorithm is not generalized to the identifier attribute.Aiming at such problems,this paper proposes an improved maximum bucket priority efficient algorithm.The correlation of sensitive attributes was analyzed in this algorithm to reduce the dimension of sensitive attributes.For each sensitive attribute sub-table,the maximum preference degree was used to realize the anonymization processing,and increase the generalization of the identification attribute generalization.A random exchange of complex sensitive attribute vectors in each equivalence class was increased to ward off the associated attacks.The experimental results show that the improved algorithm can protect the sensitive attribute information of users better on the basis of maintaining data availa-bility.
万方数据
维普
