用于车辆网络安全换道的量子隐私保护服务

IF 2.5 Q3 QUANTUM SCIENCE & TECHNOLOGY IET Quantum Communication Pub Date : 2023-03-30 DOI:10.1049/qtc2.12059
Zeinab Rahmani, Luis S. Barbosa, Armando N. Pinto
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引用次数: 0

摘要

安全多方计算(SMC)使多方能够在不损害其隐私的情况下安全合作。SMC有潜力为车辆网络中的隐私障碍提供解决方案。然而,传统的SMC实现存在效率和安全性方面的挑战。为了解决这个问题,使用了两种量子通信技术,量子密钥分发(QKD)和量子遗忘密钥分发。这些技术分别提供对称密钥和遗忘密钥,实现快速安全的车内通信。这些量子技术与具有遗忘传输的更快恶意算术安全计算(MASCOT)协议集成,形成量子安全多方计算(QSMC)平台。实现了变道服务,其中车辆广播关于其离开高速公路的意图的私人信息。所提出的QSMC方法提供了无条件的安全性,甚至可以抵御量子计算机攻击。此外,与经典实现相比,变道用例的量子方法的通信成本降低了97%。然而,计算成本增加了42%。对于开放空间场景,通信成本的降低尤其重要,因为它节省了自由空间无线电信道的带宽,超过了计算成本的增加。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Quantum privacy-preserving service for secure lane change in vehicular networks

Secure Multiparty Computation (SMC) enables multiple parties to cooperate securely without compromising their privacy. SMC has the potential to offer solutions for privacy obstacles in vehicular networks. However, classical SMC implementations suffer from efficiency and security challenges. To address this problem, two quantum communication technologies, Quantum Key Distribution (QKD) and Quantum Oblivious Key Distribution were utilised. These technologies supply symmetric and oblivious keys respectively, allowing fast and secure inter-vehicular communications. These quantum technologies are integrated with the Faster Malicious Arithmetic Secure Computation with Oblivious Transfer (MASCOT) protocol to form a Quantum Secure Multiparty Computation (QSMC) platform. A lane change service is implemented in which vehicles broadcast private information about their intention to exit the highway. The proposed QSMC approach provides unconditional security even against quantum computer attacks. Moreover, the communication cost of the quantum approach for the lane change use case has decreased by 97% when compared to the classical implementation. However, the computation cost has increased by 42%. For open space scenarios, the reduction in communication cost is especially important, because it conserves bandwidth in the free-space radio channel, outweighing the increase in computation cost.

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6.70
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