A Post-Quantum Blockchain and Autonomous AI-Enabled Scheme for Secure Healthcare Information Exchange.

IF 6.7 2区 医学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Linlin He, Siyuan Rao, Kexin Tian, Yuyuan Liu, Jue Wang, Shuanggen Liu, Xiuhua Lu
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引用次数: 0

Abstract

Secure healthcare information exchange (HIE) is critical to improving medical services, enabling data interoperability, and ensuring patient privacy. However, the increasing threat posed by quantum computing challenges the reliability of conventional cryptographic mechanisms. To address this, we propose a post-quantum secure healthcare data-sharing scheme that combines the Extended Merkle Signature Scheme (XMSS) and consortium blockchain technology to guarantee the integrity, authenticity, and traceability of electronic medical records (EMRs). Furthermore, the scheme incorporates autonomous artificial intelligence (AI) to assist healthcare professionals in generating accurate and intelligent diagnostic reports, enhancing clinical decision-making. We theoretically analyze the scheme's security in the random oracle model, demonstrating that it effectively resists various threats. Performance evaluation shows that the scheme is particularly suitable for HIE scenarios as it reduces about 49% in total computational overheads and 36% in blockchain storage compared to other schemes.

用于安全医疗信息交换的后量子区块链和自主ai支持方案。
安全的医疗保健信息交换(HIE)对于改善医疗服务、实现数据互操作性和确保患者隐私至关重要。然而,量子计算带来的日益严重的威胁对传统加密机制的可靠性提出了挑战。为了解决这个问题,我们提出了一种后量子安全医疗保健数据共享方案,该方案结合了扩展默克尔签名方案(XMSS)和联盟区块链技术,以保证电子医疗记录(emr)的完整性、真实性和可追溯性。此外,该计划结合自主人工智能(AI),协助医护人员生成准确和智能的诊断报告,提高临床决策。从理论上分析了该方案在随机oracle模型下的安全性,证明了该方案能有效抵御各种威胁。性能评估表明,该方案特别适合HIE场景,因为与其他方案相比,它减少了大约49%的总计算开销和36%的区块链存储。
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来源期刊
IEEE Journal of Biomedical and Health Informatics
IEEE Journal of Biomedical and Health Informatics COMPUTER SCIENCE, INFORMATION SYSTEMS-COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
CiteScore
13.60
自引率
6.50%
发文量
1151
期刊介绍: IEEE Journal of Biomedical and Health Informatics publishes original papers presenting recent advances where information and communication technologies intersect with health, healthcare, life sciences, and biomedicine. Topics include acquisition, transmission, storage, retrieval, management, and analysis of biomedical and health information. The journal covers applications of information technologies in healthcare, patient monitoring, preventive care, early disease diagnosis, therapy discovery, and personalized treatment protocols. It explores electronic medical and health records, clinical information systems, decision support systems, medical and biological imaging informatics, wearable systems, body area/sensor networks, and more. Integration-related topics like interoperability, evidence-based medicine, and secure patient data are also addressed.
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