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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.
The Code of Ethics provisions outline the nurse's duty to the patient, the healthcare team, the profession, and society. The Code's fundamental principles include advocacy,...
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Assessing Stem Cell DNA Integrity for Cardiac Cell Therapy
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A double encryption protection algorithm for stem cell bank privacy data based on improved AES and chaotic encryption

Li Wang1, Xinyi Wei1, Yuan Zhang2

  • 1School of Electrical Engineering, Henan University of Technology, Zhengzhou, Asia, China.

Plos One
|October 25, 2023
PubMed
Summary
This summary is machine-generated.

Stem cell data security is enhanced using a novel double encryption protection (DEP) algorithm. This method combines improved Advanced Encryption Standard (AES) and chaotic encryption for robust privacy in stem cell banks.

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Area of Science:

  • Biotechnology and Bioinformatics
  • Data Security and Cryptography

Background:

  • Stem cells possess unique self-renewal and differentiation capabilities, making them valuable for clinical applications.
  • Increasing stem cell storage necessitates stringent privacy and ethical compliance for sensitive personal data.
  • Traditional encryption algorithms lack sufficient security for safeguarding confidential stem cell banking information.

Purpose of the Study:

  • To address the security vulnerabilities in traditional encryption methods for stem cell bank data.
  • To propose and evaluate a novel double encryption protection (DEP) algorithm for enhanced privacy and security.

Main Methods:

  • Developed a hash value key decomposition algorithm for dynamic key generation.
  • Implemented a two-level encryption process: an improved AES (Advanced Encryption Standard) framework and a chaotic encryption sequence.
  • Utilized DNA coding, dynamic shifts, and sequence conversion algorithms for robust encryption.

Main Results:

  • The DEP algorithm demonstrated high sensitivity to plain text changes, with average NCCR (Number of Characters Change Rate) at 32.52% and UACIT (Unified Average Change Intensity of Text) at 99.67%.
  • Experimental results showed average histogram variance of 116.7883 and information entropy of 7.6688.
  • The algorithm offers a large key space and high key sensitivity for dynamic data encryption.

Conclusions:

  • The proposed DEP algorithm significantly enhances the security of private data in stem cell banks within cloud environments.
  • DEP provides a new, highly confidential encryption method suitable for sensitive biological data.
  • This approach ensures data integrity and privacy, meeting strict ethical and security requirements.