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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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Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning...
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Cognitive learning is based on purposive behavior, incidental learning, and insight learning.
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通过区块链安全地传播物联网数据,并转移学习技术.

Pooja Anand1, Yashwant Singh2, Harvinder Singh3

  • 1Department of Computer Science and Information Technology, Central University of Jammu, Rahya Suchani, Jammu and Kashmir, 181143, India.

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概括
此摘要是机器生成的。

这项研究介绍了TraVel,它是使用区块链和转移学习进行物联网 (IoT) 数据管理的安全框架. 它通过确保可靠,透明和安全的数据处理来增强对可持续物联网解决方案的信任.

关键词:
攻击 攻击 攻击区块链 区块链 区块链 区块链丹恩·丹恩 (英语:DANN) 是一个域名适应领域适应这就是为什么物联网是物联网物联网.智能合约是一种智能合约.智能家居是一个智能家居.这里是TLTLTLTL.

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科学领域:

  • 计算机科学 计算机科学
  • 网络安全 网络安全
  • 数据科学数据科学数据科学

背景情况:

  • 现有的物联网数据系统中的集中架构会产生单点故障,损害可靠性,安全性和透明度.
  • 可持续的物联网解决方案需要可靠的数据管理才能有效运行.
  • 对于智能应用程序来说,对流动物联网数据的安全可靠传播的需求至关重要.

研究的目的:

  • 推出TraVel,一个用于物联网 (IoT) 数据安全管理的新框架.
  • 通过提高可靠性,安全性和透明度来解决现有的物联网数据系统的局限性.
  • 通过安全的数据处理,建立对可持续物联网解决方案的信任.

主要方法:

  • 利用分散的星际文件系统 (IPFS) 来有效存储大量的物联网数据.
  • 整合私有以太坊区块链,以提高数据完整性和可访问性.
  • 使用自执行的以太坊智能合约进行访问控制和数据验证.
  • 使用对抗域适应 (DA) 学习模型来检测和过恶意数据.

主要成果:

  • 通过模拟,证明了TraVel框架的可靠性和可扩展性.
  • 通过使用IPFS散列密钥通过区块链成功安全收集和访问智能家居数据.
  • 通过智能合约有效执行访问控制和数据完整性.
  • 使用DA模型,在区块链存储之前过恶意数据.

结论:

  • 特拉维尔为安全的物联网数据管理提供了强大的解决方案,增强了对可持续物联网应用程序的信任.
  • 该框架通过使用区块链和分散存储有效地解决了集中式系统的局限性.
  • 转移学习和智能合约的整合确保了物联网数据传播中的数据完整性和安全性.