Design and Implementation of Power Tax Data Query Tool Based on Private Information Retrieval

Design and implementation of a power tax data query tool based on Private Information Retrieval (PIR) technology is presented in this paper, aimed at enabling power companies to securely obtain tax data without revealing the privacy of their queries, thereby more accurately estimating the electricity usage of enterprises. With the development of the digital economy and the instability of economic operations, the tax-electricity index, as a new government tool, is of great significance for monitoring the quality and efficiency of economic operations. By employing Secure Multi-Party Computation (MPC) technology, the MASCOT protocol, and PIR technology, this paper designs and implements a method that protects the security of tax-electricity private data while improving data utilization efficiency. Simulation results demonstrate that the tool can effectively assist power companies in using tax data to optimize enterprise electricity services, providing support for high-quality economic development.