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相关概念视频

Ethical Standards II01:23

Ethical Standards II

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Ethical standards are the backbone of nursing practice, guiding nurses as they interact with patients, families, and colleagues. These standards are crucial for providing safe, empathetic care centered on the patient's needs.
Nurses are entrusted with upholding various ethical principles and standards. Nurses forge solid therapeutic relationships using trust, empathy, autonomy, confidentiality, and professional competence.
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If you want to understand how behavior occurs, one of the best ways to gain information is to simply observe the behavior in its natural context. However, people might change their behavior in unexpected ways if they know they are being observed. How do researchers obtain accurate information when people tend to hide their natural behavior? As an example, imagine that your professor asks everyone in your class to raise their hand if they always wash their hands after using the restroom. Chances...
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The American Nurses Association (ANA) created and implemented the first nationally accepted Code of Ethics for Nurses with Interpretive Statements. The Code of Ethics is a living document regularly updated by the ANA and establishes an ethical standard that is non-negotiable for nurses in all roles and settings.
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Ethics is a philosophical study of moral actions. Ethics attempts to determine what is valuable for individuals and society. It examines the rational justification of moral judgments and analyzes what is morally just, fair, and right. Bioethics is a sub-discipline of applied ethics that analyzes the philosophical, social, and legal issues in life sciences and medicine. Ethical theories serve as a foundation for decision-making and represent the viewpoints from which people seek direction. They...
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欧洲航空局:保护隐私的环境基于传感器的身份验证

Andraž Krašovec1,2, Gianmarco Baldini1, Veljko Pejović2

  • 1Joint Research Centre, European Commission, Via Enrico Fermi 2749, 21027 Ispra, Italy.

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概括
此摘要是机器生成的。

本研究介绍了P2ESA,一种使用对抗深度学习的方法,用于在身份验证期间保护物联网 (IoT) 设备的敏感用户数据. 它确保了高度的识别准确性,同时完全掩盖了私人信息.

关键词:
行为身份验证认证边缘计算是一种边缘计算.维护隐私的学习学习无处不在的感知传感器

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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
  • 机器学习 机器学习

背景情况:

  • 物联网 (IoT) 设备在日常生活中越来越普遍.
  • 物联网数据可以用于用户识别和身份验证.
  • 收集的数据可能无意中揭示出超出认证需求的敏感个人信息.

研究的目的:

  • 开发一种方法来从物联网数据中删除隐私泄露信息.
  • 在隐私增强后保持高用户身份验证性能.
  • 解决机器学习管道中边缘设备的计算限制.

主要方法:

  • 利用对抗性的深度学习技术来隐私信息模糊.
  • 开发了用于计算弱的边缘设备的卸载技术.
  • 在多式联网物联网数据集上实施和培训P2ESA系统.

主要成果:

  • 实现了用户识别率在75.85%和93.31%之间,明显超过了6.67%的基线.
  • 证明了P2ESA系统的高效部署和培训.
  • 成功掩盖了敏感的用户信息,同时保留了身份验证实用程序.

结论:

  • 在物联网环境中,P2ESA为安全认证提供了一个有前途的解决方案.
  • 该方法有效地平衡了用户识别准确性和强大的隐私保护.
  • P2ESA解决了机器学习应用中的边缘设备的计算挑战.