Multi-source data fusion privacy protection method for multi-privacy policy combination optimization

The invention relates to the field of data release, in particular to a multi-source data fusion privacy protection method for multi-privacy policy combination optimization. A multi-party data fusion framework based on the over-anonymity is provided, and the situation of privacy disclosure of fused data is prevented. Furthermore, the practical significance of data fusion is to provide a more comprehensive data basis for the user, so that extensive knowledge mining can be carried out on the basis. Therefore, a multi-privacy protection strategy combination optimization scheme is designed, and the availability of fused data is improved to the greatest extent while privacy constraints of all parties are met. According to the strategy, multi-source multi-privacy constraint data are fused and mapped into a hypergraph, hyperedges are selected, solved and eliminated on the hypergraph one by one by using a heuristic rule, the hyperedges are eliminated, the privacy constraints are realized one by one, and a data fusion