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The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
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Learning is the process of acquiring knowledge or skills through practice or experience, leading to long-lasting behavioral changes. This acquisition occurs through interaction with the environment and requires practice or experience. For instance, mastering a skill such as surfing requires considerable practice and experience, highlighting the essential role of repeated interactions with the environment in learning.
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基于双重注意力的深度学习与区块链用于多媒体数据处理和IoHT中的安全访问控制.

G Karthik Reddy1, Nageswara Rao Lavuri2, Shabana Urooj3

  • 1Department of Electronics and Communication Engineering, MLR Institute of Technology, Dundigal, Hyderabad, Telangana, 500043, India.

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概括

本研究介绍了使用区块链技术和基于双重注意力的深贝叶斯网络 (DA-DBN) 的医疗保健物联网 (IoHT) 的安全框架,用于高效的多媒体数据处理和访问控制,增强医疗保健安全.

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区块链 区块链 区块链 区块链基于双重注意力的贝叶斯深度网络.互联网的医疗东西的互联网.多媒体数据处理多媒体数据处理.确保安全的访问控制.

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科学领域:

  • 医疗信息学 医疗信息学
  • 网络安全 网络安全
  • 分布式账本技术 分布式账本技术

背景情况:

  • 医疗保健物联网 (IoHT) 在保护敏感的多媒体患者数据和确保跨平台的高效数据集成方面面临挑战.
  • 目前的系统在处理大量的医疗数据时扎,造成安全风险,并需要大量的人力劳动.
  • 区块链技术提供了强大的加密和点对点功能,为增强IoHT安全性和数据管理提供了可行的解决方案.

研究的目的:

  • 为医疗保健物联网 (IoHT) 开发一个高效的多媒体数据处理系统,利用区块链技术.
  • 为了加强IoHT环境中的安全控制和资源分配.
  • 实施一种先进的访问控制模型,即基于双重注意力的深度贝叶斯网络 (DA-DBN),用于保护多媒体内容.

主要方法:

  • 利用区块链技术,为IoHT中的多媒体数据创建一个安全的框架.
  • 实现了基于双重注意力的深度贝叶斯网络 (DA-DBN),用于实时安全控制和访问管理.
  • 生成的数据在区块链上进行哈希,以检测存储的多媒体信息中的任何更改或更改.

主要成果:

  • 拟议的系统成功地为IoHT中使用区块链和DA-DBN的多媒体内容提供了一个安全的框架.
  • 与支持矢量机器 (SVM) 方法相比,DA-DBN模型显示访问控制速度快23.88%.
  • 该系统有效地管理安全和访问控制,验证其基于IoHT的健康管理潜力.

结论:

  • 开发的区块链辅助系统为IoHT中的多媒体数据处理提供了高效和安全的解决方案.
  • DA-DBN模型显著提高了访问控制速度和整体系统安全性.
  • 拟议的模型非常适合保护IoHT应用程序并有效管理敏感的健康数据.