A Confidential Batch Payment Scheme with Integrated Auditing for Enhanced Data Trading Security

Abstract

Current data trading systems only support plaintext or unaudited private transactions. To overcome these, we present a confidential batch payment scheme with integrated auditing for enhanced data trading security. We use Castagnos–Laguillaumie (CL) homomorphic encryption and batch zero-knowledge proofs to construct the scheme. The scheme reduces decryption complexity and ciphertext length while enabling malicious model operations. In addition, it supports efficient batch payments to multiple recipients and includes features for payment statistic analysis and auditing. Experimental results indicate that the system efficiently handles encryption, decryption, and auditing tasks, completing each operation in an average of 0.89, 1.55, and 1.55 milliseconds, respectively.