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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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Nursing Clinical Information System (NCIS)
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Surveying near highways, rough terrain, or power lines involves significant risks. Working along highways is particularly dangerous and requires the use of warning signs and flagmen. It is safest to avoid working directly on roads and use offsets whenever possible. When highway work is unavoidable, it must follow all safety guidelines. Surveyors should wear bright clothing, such as orange reflective vests, to ensure visibility to motorists, coworkers, and hunters. In construction zones, wearing...
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Enhancing Data Security of Cloud Based LMS.

Paramita Chatterjee1, Rajesh Bose1, Subhasish Banerjee2

  • 1Department of Computational Science, Brainware University, Kolkata, India.

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Summary
This summary is machine-generated.

Cloud-based Learning Management Systems (LMS) offer versatile, secure education delivery. This study explores LMS security challenges and cryptographic solutions for safe online learning environments.

Keywords:
AuthenticationCloud computingCryptographyIntegrityLMSSecuritySteganographyVirtual reality

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Area of Science:

  • Educational Technology
  • Cloud Computing Security

Background:

  • The global education sector is rapidly evolving, with a significant shift towards digitalization.
  • Cloud-based Learning Management Systems (LMS) are emerging as a key technology for delivering versatile, convenient, and secure educational experiences.
  • The COVID-19 pandemic highlighted the critical need for robust and secure online learning platforms.

Purpose of the Study:

  • To address the security challenges faced by cloud-based LMS, including confidentiality, user acceptance, and traffic management.
  • To propose an LMS model that ensures optimal security, a user-friendly interface, and efficient access for all users.
  • To investigate the application of cloud attack vectors and the integration of cryptographic and steganographic techniques for enhanced security.

Main Methods:

  • Analysis of cloud attack vulnerabilities and security operations relevant to cloud data.
  • Exploration of cryptographic and steganographic security models and techniques.
  • Discussion of algorithms and methodologies for mitigating security risks in cloud-based LMS.

Main Results:

  • Identification of potential security vulnerabilities and feasible operations on cloud data within LMS environments.
  • Demonstration of how cryptographic and steganographic methods can be applied to secure LMS platforms.
  • Evaluation of an LMS model designed for enhanced security, user-friendliness, and accessibility.

Conclusions:

  • Cloud-based LMS are crucial for modern education, especially in crisis situations, but require strong security measures.
  • The integration of advanced security techniques like cryptography and steganography is essential for building trust in online learning platforms.
  • This research provides insights into securing cloud-based LMS against potential threats, ensuring a safe and effective digital learning experience.