MORSE: An Efficient Homomorphic Secret Sharing Scheme Enabling Non-Linear Operation

• URL: http://arxiv.org/abs/2410.06514v1
• Date: Wed, 9 Oct 2024 03:29:50 GMT
• Title: MORSE: An Efficient Homomorphic Secret Sharing Scheme Enabling Non-Linear Operation
• Authors: Weiquan Deng, Bowen Zhao, Yang Xiao, Yantao Zhong, Qingqi Pei, Ximeng Liu,
• Abstract summary: Homomorphic secret sharing (HSS) enables two servers to locally perform functions on encrypted data directly and obtain the results in the form of shares. A Paillier-based HSS solution seamlessly achieves multiplicative homomorphism and consumes less communication costs. We propose MORSE, an efficient homomorphic secret sharing scheme enabling non-linear operation.
• Score: 37.45826289062067
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Homomorphic secret sharing (HSS) enables two servers to locally perform functions on encrypted data directly and obtain the results in the form of shares. A Paillier-based HSS solution seamlessly achieves multiplicative homomorphism and consumes less communication costs. Unfortunately, existing Paillier-based HSS schemes suffer from a large private key size, potential calculation error, expensive computation and storage overhead, and only valid on linear operations (e.g., addition and multiplication). To this end, inspired by the Paillier cryptosystem with fast encryption and decryption, we propose MORSE, an efficient homomorphic secret sharing scheme enabling non-linear operation, which enjoys a small key size, no calculation error and low overhead. In terms of functions, MORSE supports addition, subtraction, multiplication, scalar-multiplication, and comparison. Particularly, we carefully design two conversion protocols achieving the mutual conversion between one Paillier ciphertext and two secret shares, which allows MORSE to continuously perform the above operations. Rigorous analyses demonstrate that MORSE securely outputs correct results. Experimental results show that MORSE makes a runtime improvement of up to 9.3 times in terms of secure multiplication, and a communication costs reduction of up to 16.6% in secure comparison, compared to the state-of-the-art.

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