基于物联网的外部攻击意识到使用区块链和SB-RNN-NVS-FU技术的安全医疗保健框架
Ramesh Kuppusamy1, Anbarasan Murugesan2
1Department of Computer Science and Engineering, V.R.S. College of Engineering and Technology, Arasur, India.
概括
本研究介绍了一种使用先进加密和区块链的安全物联网 (IoT) 医疗保健框架. 新系统将安全性提高到98%,并改善了电子健康记录的攻击检测.
科学领域:
- 计算机科学 计算机科学
- 信息安全 信息安全
- 医疗保健技术 技术 医疗保健 技术
背景情况:
- 物联网 (IoT) 应用程序越来越多地用于医疗保健,在云服务器上处理敏感的用户数据.
- 物联网医疗保健网络面临重大安全漏洞,对患者数据完整性和隐私构成风险.
研究的目的:
- 提出一个新的,安全的电子健康记录 (EHR) 框架,专门为物联网 (IoT) 医疗环境设计.
- 在支持物联网的医疗保健系统中增强患者数据管理的安全性和可靠性.
主要方法:
- 使用塔斯马尼亚魔鬼优化 (TDO) 与学生的T-分布实现了信任评估和节点集群.
- 采用转换密码-平方圆曲线加密 (TCS-ECC) 来进行数据加密,然后进行散列和区块链集成.
- 采用Swish Beta激活-循环神经网络 (SB-RNN) 进行攻击检测,使用Neutrosophic Vague Set Fuzzy (NVS-Fu) 进行双重支出攻击识别.
主要成果:
- 在攻击分类方面实现了98%的安全级别和98%的准确性.
- 将攻击检测时间缩短到1300ms,显示出显著的性能改进.
- 实验分析证实,与现有方法相比,拟议模型的可靠性和性能优越.
结论:
- 拟议的安全EHR框架有效地解决了物联网医疗保健中的安全威胁.
- 实验结果验证了实施的安全措施的效率和稳定性.
关键词:
集群负责人 (CH)电子健康记录 (EHR) 是一种电子医疗记录.中微观波动设置模糊 (NVS-Fu)学生的T-分布使用了塔斯马尼亚魔鬼优化 (STD-TDO).斯威斯贝塔激活-循环神经网络 (SB-RNN)更多相关视频
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