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Summary
This summary is machine-generated.

This study introduces integrated computational-biological programming (ICBP) for secure DNA data storage in living organisms. ICBP enhances data security and achieves 100% recovery across 100 generations.

Keywords:
computational chaosdata securitydynamic code tablein vivo DNA data storage

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Area of Science:

  • Biotechnology
  • Bioinformatics
  • Data Storage

Background:

  • DNA offers high-density, stable data storage potential.
  • Storing data in living organisms provides self-replication and concealment advantages.
  • Existing in vivo DNA data storage methods have security vulnerabilities.

Purpose of the Study:

  • To develop a secure and robust method for DNA data storage within living systems.
  • To overcome security risks associated with predetermined encoding/decoding methods.
  • To leverage computational and biological systems for enhanced data security and storage.

Main Methods:

  • Developed integrated computational-biological programming (ICBP) paradigm.
  • Constructed dynamic code tables from gene regulatory networks and genomes.
  • Utilized DNA encoding, computation, and biological complexity for encryption.

Main Results:

  • Expanded the key space by over 100 orders of magnitude.
  • Achieved superior encryption quality, resistant to attacks.
  • Demonstrated 100% data recovery after 100 generations of microbial replication.

Conclusions:

  • ICBP offers a transformative strategy for secure DNA data storage.
  • Combines computational logic with biological complexity for robust security.
  • Enables practical, secure, and stable data storage within living systems.