Abstract: The existing supply chain management of power materials involves multiple business systems. The collaboration of electronic data across business systems faces challenges such as data heterogeneity, reliance on trusted third-party platforms, and high risks of data circulation leakage across systems. In order to solve these problems, a cross-system data security aggregation scheme for power material supply chain based on additive secret sharing is proposed. The scheme relies on additive secret sharing to build linear and nonlinear secure computation frameworks, enabling secure data aggregation without trusted third parties. Moreover, a series of secure aggregation protocols are designed, including secure sum aggregation, secure mean aggregation, secure variance aggregation, four-party secure comparison and secure extremum aggregation, to solve the problem of data interoperability among cross-business systems. Rigorous security analysis and experiments show that this scheme can not only ensure the accurate aggregation of data while protecting the privacy of each business system, but also does not rely on any external trusted third party at all. It has superior performance in terms of aggregation communication overhead and efficiency, providing effective technical support for the digital management of the material supply chain.

Key words: material supply chain, secret sharing, data aggregation, privacy protection, no trusted third party