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Related Concept Videos

Ethical Standards I01:25

Ethical Standards I

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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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Ethical Standards II01:23

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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.
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Healthcare Associated Infections II: Preventive Measures01:22

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The guidelines and strategies provided by the American Nurses Association (ANA) and the Canadian Nurses Association (CNA) offer essential principles for ensuring safe and secure computer charting systems in healthcare settings. Let's break down each recommendation:
Maintain Confidentiality and Security:
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Related Experiment Video

Updated: May 21, 2025

Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring
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Optimizing data privacy and security measures for critical infrastructures via IoT based ADP2S technique.

Zhenyu Xu1, Jinming Wang2, Shujuan Feng1

  • 1Collage of Information Science and Technology, Zhejiang Shuren University, Hangzhou, 310015, China.

Scientific Reports
|March 21, 2025
PubMed
Summary

This study introduces an Attuned Data Protection with Privacy Scheme (ADP2S) for Internet of Things (IoT) security, utilizing a reptile search optimization algorithm to detect and mitigate vulnerabilities, reducing data loss and complexity.

Keywords:
AlgorithmsArtificial intelligenceBig dataInternet of thingsOptimization

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Area of Science:

  • Computer Science
  • Cybersecurity
  • Artificial Intelligence

Background:

  • Internet of Things (IoT) platforms handle sensitive data, making them susceptible to security risks.
  • Protecting user data privacy in IoT is crucial, yet data loss and complexity are significant challenges.
  • Existing security measures often struggle with the scale and dynamic nature of IoT environments.

Purpose of the Study:

  • To propose an Attuned Data Protection with Privacy Scheme (ADP2S) for enhanced IoT security.
  • To leverage a novel reptile search optimization algorithm for vulnerability detection and mitigation.
  • To improve data protection, privacy, and reduce operational complexities in IoT applications.

Main Methods:

  • Implementation of a reptile search optimization algorithm mimicking reptile hunting behaviors for vulnerability discovery.
  • Development of a security scheme (ADP2S) that activates a 'reptile swarm' upon detecting a breach.
  • Integration of elliptic curve cryptography and two-factor authentication for robust user and service provider authentication.

Main Results:

  • The proposed ADP2S scheme improved breach detection and protection recommendations by 11.37% and 8.04%, respectively.
  • Significant reductions were achieved in data loss (6.58%), estimation time (10.9%), and complexity (11.21%).
  • The algorithm effectively merges exploration and exploitation stages by sharing search locations among candidates.

Conclusions:

  • The reptile search optimization algorithm offers an effective approach to enhance IoT security and data privacy.
  • ADP2S demonstrates a significant improvement in mitigating security risks and operational challenges in IoT environments.
  • The scheme provides a scalable and efficient solution for protecting sensitive data in shared IoT infrastructures.