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用于智能医疗保健的可控量子认证保密通信协议

Controlled quantum authentication confidential communication protocol for smart healthcare.

作者信息

He Yefeng, Fan Jiaqiang, Zhang Yichi

机构信息

School of Cyberspace Security, Xi'an University of Posts and Telecommunications, Xi'an, 710121, China.

出版信息

Sci Rep. 2025 May 24;15(1):18094. doi: 10.1038/s41598-025-02448-3.

Abstract

In the field of smart healthcare, video consultation has become a key way to provide medical services for remote patients. In this process, it is essential to ensure the legal identity of both parties to the communication and to protect patient privacy data from unlawful interception and tampering. Therefore, a controlled quantum authentication confidential communication protocol is proposed by using the entanglement exchange ability and measurement correlation of Bell states. With the assistance of a trusted third party, the protocol first achieves the mutual authentication of the communication parties, so as to prevent malicious users from communicating by pretending to be medical specialists or patients. The trusted party then further assists the communicating parties in generating two implicit shared keys, which they use to encrypt the message and its digest, ensuring that the patient's sensitive data is not intercepted or tampered with. In addition, the quantum sequences are transmitted only once in the channel, reducing the loss and noise effects caused by multiple transmissions. Security analysis shows that the protocol can effectively resist participant attacks and outside attacks. In addition, performance analysis provides computation in terms of qubit efficiency and experimental simulation results of the protocol.

摘要

在智能医疗领域,视频会诊已成为为远程患者提供医疗服务的关键方式。在此过程中,确保通信双方的合法身份以及保护患者隐私数据不被非法拦截和篡改至关重要。因此,利用贝尔态的纠缠交换能力和测量相关性,提出了一种可控量子认证保密通信协议。在可信第三方的协助下,该协议首先实现通信双方的相互认证,以防止恶意用户冒充医学专家或患者进行通信。可信方随后进一步协助通信双方生成两个隐式共享密钥,他们用这些密钥对消息及其摘要进行加密,确保患者的敏感数据不被拦截或篡改。此外,量子序列仅在信道中传输一次,减少了多次传输造成的损耗和噪声影响。安全性分析表明,该协议能够有效抵御参与者攻击和外部攻击。此外,性能分析提供了关于量子比特效率的计算以及该协议的实验模拟结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a162/12103551/f96e5b07013d/41598_2025_2448_Fig1_HTML.jpg

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