A Batch Payment Scheme with Denomination Privacy

Liutao Zhao, Lin Zhong, Yujue Wang, Jiawan Zhang

Abstract: Current blockchain payment approaches face practical application challenges due to high decryption complexity, extended ciphertext lengths, and reliance on semi-honest operational models. To address these issues, this paper presents a batch payment scheme with denomination privacy using the Castagnos-Laguillaumie (CL) homomorphic encryption and batch zeroknowledge proofs. Our scheme reduces decryption complexity and ciphertext length while enabling malicious model operations. It supports efficient batch payments to multiple recipients and includes features for payment statistics. Experimental results show an average encryption and decryption time of 0.89 ms and 1.55 ms, respectively, confirming its practicality and speed.