SQAHO-IoMT:用于智能医疗保健系统的后量子安全和AI弹性聚合框架
IEEE journal of biomedical and health informatics
|November 28, 2025
概括
我们开发了SQAHO-IoMT,这是医疗物联网 (IoMT) 的安全框架. 它使用后量子加密和AI意识的模糊来保护患者数据免受网络威胁,确保安全的智能医疗保健.
科学领域:
- 网络安全 网络安全
- 医疗技术 医疗技术 医学技术
- 应用密码学 应用密码学
背景情况:
- 医疗物联网 (IoMT) 实现了精准医学,但面临着人工智能和量子计算等先进威胁的安全风险.
- 在复杂的IoMT生态系统中保护敏感的患者数据和设备完整性是一个重大挑战.
- 现有的安全措施可能无法充分应对新出现的威胁,需要新的解决方案.
研究的目的:
- 提出SQAHO-IoMT,在IoMT中为资源有限的医疗设备提供统一的安全框架.
- 在智能医疗保健系统中增强数据聚合安全性和隐私.
- 提供对传统和新兴网络威胁的强有力的保护,包括量子和人工智能驱动的攻击.
主要方法:
- 实现基于Ring-LWE的后量子加密,使用层次密钥来保护隐私的数据聚合.
- 引入噪音淹没的模糊,以对抗基于人工智能的聚合逻辑和设备行为的反向工程.
- 利用基于值的密钥共享机制,以提高妥协容忍度和分散的弹性.
主要成果:
- 正式的安全分析证实了100位对密钥恢复和逻辑提取的量子阻力.
- 通过优化数字签名实现128位后量子完整性.
- 在100节点部署的32位ARM Cortex-M4上展示了低延迟 (81.1ms) 和最小的能耗 (0.13mJ).
结论:
- 在智能医疗保健中,SQAHO-IoMT有效地将后量子密码学与人工智能意识的模糊化相结合,以实现安全可靠的数据聚合.
- 该框架提高了针对个性化治疗,重症监测和远程患者管理的分析的可靠性.
- 在保护IoMT生态系统免受复杂的网络威胁方面,SQAHO-IoMT代表了重大进展.
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