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arXiv:2501.10083

Efficient Simulation of Quantum Secure Multiparty Computation

Kartick Sutradhar

Published Jan 17, 2025• 0 citations
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Abstract

One of the key characteristics of secure quantum communication is quantum secure multiparty computation. In this paper, we propose a quantum secure multiparty summation (QSMS) protocol that can be applied to many complex quantum operations. It is based on the $(t, n)$ threshold approach. We combine the classical and quantum phenomena to make this protocol realistic and secure. Because the current protocols employ the $(n, n)$ threshold approach, which requires all honest players to execute the quantum multiparty summation protocol, they have certain security and efficiency problems. However, we employ a $(t, n)$ threshold approach, which requires the quantum summation protocol to be computed only by $t$ honest players. Our suggested protocol is more economical, practical, and secure than alternative protocols.

DOI
10.48550/arxiv.2501.10083

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One of the key characteristics of secure quantum communication is quantum secure multiparty computation. In this paper, we propose a quantum secure multiparty summation (QSMS) protocol that can be applied to many complex quantum operations. It is based on the (t,n)(t, n)(t,n) threshold approach. We combine the classical and quantum phenomena to make this protocol realistic and secure. Because the current protocols employ the (n,n)(n, n)(n,n) threshold approach, which requires all honest players to execute the quantum multiparty summation protocol, they have certain security and efficiency problems. However, we employ a (t,n)(t, n)(t,n) threshold approach, which requires the quantum summation protocol to be computed only by ttt honest players. Our suggested protocol is more economical, practical, and secure than alternative protocols.
The quantum secure multiparty computation is one of the important properties of secure quantum communication. In this paper, we propose a quantum secure multiparty summation (QSMS) protocol based on (t, n) threshold approach, which can be used in many complex quantum operations. To make this protocol secure and realistic, we combine both the classical and quantum phenomena. The existing protocols have some security and efficiency issues because they use (n, n) threshold approach, where all the honest players need to perform the quantum multiparty summation protocol. We however use a (t, n) threshold approach, where only t honest players need to compute the quantum summation protocol. Compared to other protocols our proposed protocol is more cost-effective, realistic, and secure. We also simulate it using the IBM corporation's online quantum computer, or quantum experience.
The summation and multiplication are two basic operations for secure multiparty quantum computation. The existing secure multiparty quantum summation and multiplication protocols have (n, n) threshold approach and their computation type is bit-by-bit, where n is total number of players. In this paper, we propose two hybrid (t, n) threshold quantum protocols for secure multiparty summation and multiplication based on the Shamir's secret sharing, SUM gate, quantum fourier transform, and generalized Pauli operator, where t is a threshold number of players that can perform the summation and multiplication. Their computation type is secret-by-secret with modulo d, where d, n ≤ d ≤ 2n, is a prime. The proposed protocols can resist the intercept-resend, entangle-measure, collusion, collective, and coherent quantum attacks. They have better computation as well as communication costs and no player can get other player's private input.
The secure multiparty quantum summation is an important primitive of quantum cryptography. The existing multiparty quantum summation protocols have (n, n) threshold approach, where n out of total n players need compute the summation protocol. In this brief, we present a generalized secure multiparty quantum summation protocol. In our protocol, the linear secret sharing (LSS) and Quantum Fourier Transform (QFT) are used to take the advantages of both classical and quantum summation. We show that the outside and participant attacks are not possible in our protocol. We simulate it using the real quantum processor released by IBM corporation on “cloud”.
Abstract Secure Multiparty Computation (MPC) is a cryptography technique that allows multiple parties to securely perform operations on their private inputs without revealing them. It is used in various applications, such as data aggregation in the cloud, IoT, etc., where data privacy is the prime concern. Many researchers have explored ways to develop secure protocols with minimal risk of data leakage. Many of these classical secure MPC protocols depend on classical random number generators. However, advances in quantum information processing are putting classical key distribution methods at risk. Traditional summation protocols adopt an ((n,n))((n, n))((n,n)) threshold approach, requiring the participation of all (n)(n)(n) players to compute the sum securely. However, the proposed quantum secure multiparty computation based on secure summation and QKD (QSMPC-SSQKD) introduces a generalised quantum secure multiparty summation protocol. The proposed protocol utilises entanglement, a fundamental property of quantum mechanics, to facilitate safe key exchange, thereby ensuring robust security measures. We use a quantum random number generator (QRNG) to generate true random numbers, ensuring privacy preservation. The protocol achieves a per-bit entropy level of 0.708 through QRNG, which provides strong randomness. The security of the proposed protocol is validated using the CHSCH test ((B≈2.8)(\mathcal{B}\approx2.8)(B≈2.8)), ensuring that any attempt to eavesdrop on the system can be detected, and the complete process will be rescheduled. Compared to some similar protocols, the proposed QSMPC-SSQKD protocol provides higher randomness and lower quantum circuit cost without using any trusted third party (TTP). This improvement enhances the protocol’s efficiency and practicality in preventing data leakage during computation.
Secure multiparty quantum computation is an important and essential paradigm of quantum computing. All the existing aggregating protocols are (n,n)(n, n)(n,n) threshold approaches, where nnn represents the total number of players. If one player is dishonest, the aggregation protocols cannot aggregate efficiently. In this paper, we propose a (t,n)(t, n)(t,n) threshold-based aggregating protocol, where ttt represents the threshold number of players. This protocol uses Shamir's secret sharing, quantum state, SUM gate, quantum Fourier transform, blind matrix, and Pauli operator. This protocol can perform the aggregation securely and efficiently. In this protocol, we simulate this aggregating protocol using the IBM quantum processor to verify the correctness and feasibility.
As a particular area of quantum security multiparty computation, quantum secure multiparty summation plays a critical role in modern cryptography. It is widely known that most of the existing quantum summation protocols are based on an honest or semi-honest third party (TP). However, the introduced TP makes the protocol difficult to implement in practice, as it may face a single-point-of-failure attack on TP. Although some TP-free protocols are proposed to mitigate this risk, the increased cost of communication reduces its efficiency. To address these issues, a novel quantum-secure multiparty summation protocol based on a cooperative random number distribution mechanism (QMS-CRM) is proposed in this paper for the first time. During it, this mechanism is designed using Shamir’s secret sharing scheme. Furthermore, this approach eliminates the requirement for random number exchange between participants without the help of TP, enhancing the efficiency of the protocol. The security analysis demonstrates that the proposed protocol can resist both external attacks and collusion attacks by up to n−2n - 2n−2 participants. Finally, we simulated the protocol on the IBM Quantum Cloud platform, confirming its feasibility.