一个基于多因素身份验证和动态信任评估的身份管理方案,用于远程医疗
Yishan Wu1, Mengxue Pang1, Jianqiang Ma1
1School of Cyberspace Security (School of Cryptology), Hainan University, Haikou 570228, China.
Sensors (Basel, Switzerland)
|April 12, 2025
概括
本研究引入了一种新的远程医疗身份管理系统,使用多因素身份验证和动态信任评估. 它提高了远程诊断的安全性和效率,确保了用户隐私和系统可行性.
科学领域:
- 数字健康数字健康
- 网络安全 网络安全
- 生物识别信息 生物识别信息
背景情况:
- 远程医疗提供灵活和经济高效的诊断,特别是对于远程用户.
- 现有的远程医疗安全在用户身份验证,生物识别方案,不可预测的行为和跨域兼容性方面面临挑战.
- 这些安全问题阻碍了远程医疗服务的可持续发展.
研究的目的:
- 为远程医疗提出一个先进的身份管理方案.
- 通过多因素身份验证和动态信任评估,提高远程医疗的安全性和效率.
主要方法:
- 实施了多因素身份验证系统,结合虹膜识别,智能卡和静态密码.
- 基于攻击率,登录异常和服务持续时间的综合动态信任评估.
- 利用ShangMi加密算法和区块链技术进行性能优化.
主要成果:
- 与现有协议相比,实现了35%的通信开支降低.
- 对冒名,中间人攻击和密码修改攻击表现出抵抗力.
- 维护了用户的匿名性,并满足了对系统实用性的权威标准.
结论:
- 拟议的方案有效地平衡了远程医疗的安全性和效率.
- 它为远程医疗的长期可行性和安全采用提供了坚实的基础.
- 在不断变化的数字健康环境中解决了关键的身份验证和安全挑战.
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