Privacy Preserving Outsourced Data Integration from Inner Product Encryption
Kuan-Chun Huang, Yu‐Chi Chen · 2021 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) · 2021
The multiparty private set intersection (MPSI) protocol is jointly implemented by multiple parties to obtain the intersection of private datasets indexed by matching attributes. MPSI can be applied to achieve privacy preserving data integration. In this paper, we focus on privacy preserving data integration for two datasets with an outsourced cloud that is in charge of obtaining set intersection. Our main techniques include Bloom filter and function-hiding inner product encryption. Finally, the proposed construction is conceptually-simple.