利用区块链和机器学习增强物联网支持的医疗保健安全的机会主义访问控制方案
Mohd Anjum1, Naoufel Kraiem2, Hong Min3
1Department of Computer Engineering, Aligarh Muslim University, Aligarh, 202002, India.
Scientific reports
|March 4, 2025
概括
本研究介绍了一个机会主义访问控制方案 (OACS),用于使用物联网和区块链安全访问医疗保健数据. OACS增强了安全性,减少了错误,并加快了个人化患者服务的数据处理速度.
科学领域:
- 医疗信息学 医疗信息学
- 网络安全 网络安全
- 物联网 (IoT) 的物联网 (IoT) 的物联网.
背景情况:
- 医疗保健利用物联网实现无处不在的个性化患者服务,将敏感数据存储在授权存储库中,并具有访问级安全性.
- 复杂的网络攻击 (数据泄露,完整性问题) 和传统解决方案的可扩展性问题挑战了医疗保健数据安全和隐私.
- 传统的访问控制系统由于静态的用户行为模型,特别是在多键身份验证中,会出现安全漏洞和授权错误.
研究的目的:
- 引入一个机会性访问控制方案 (OACS),以提高医疗保健物联网环境的访问级安全性.
- 通过基于用户要求和数据上下文的权限来解决传统访问控制的局限性.
- 提高医疗保健数据访问和处理的安全性,效率和可靠性.
主要方法:
- 实施了一个机会主义访问控制计划 (OACS),集成物联网,区块链和机器学习进行访问控制.
- 利用区块链记录和撤销基于访问和委托序列的访问授权.
- 采用训练有素的学习模式来分析访问决策的区块链建议,并利用集中式物联网安全增强和评估.
主要成果:
- 拟议的方法减少了11.74%的虚假率,增加了13.1%的访问率,并分别提高了12.36%和13.23%的访问和处理速度.
- 经过OACS的进一步改进,错误率下降了10.64%,处理时间下降了15.62%,故障率下降了10.95%.
- 实现了对错误和故障率的显著降低,同时提高了访问和处理效率.
结论:
- 机会性访问控制方案 (OACS) 为物联网环境中的医疗保健数据提供了强大而高效的解决方案.
- OACS有效地减轻与医疗保健数据相关的安全和隐私风险,通过实现动态,上下文意识的访问控制.
- 在OACS中集成区块链和机器学习可以提高数据安全性,减少处理开销,并改善用户访问体验.
关键词:
访问控制 访问控制 访问控制区块链 区块链 区块链 区块链电子医疗记录 电子医疗记录医疗保健 医疗保健 医疗保健 医疗保健物联网的物联网,就是物联网.随机的森林随机的森林安全的安全的安全的安全的安全.更多相关视频
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