An improved approach of data integration based on differential privacy

Multiset operation and data transmission are the key operations for privacy preserving data integration because they involve the interaction of participants. This paper proposes an approach which contains anonymous multiset operation and distributed noise generation based on the existing researches and we apply it in data integration. Analysis shows that the improved approach provides security for data integration and has lower overhead than the existing researches.