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This study introduces a novel cybersecurity-inspired platform for protecting biological assets at the genetic level. The system uses a DNA scrambling technique and a molecular code, achieving a low 0.2% chance of unauthorized access.

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Area of Science:

  • Biotechnology
  • Synthetic Biology
  • Bioinformatics

Background:

  • Traditional security for high-value biological assets relies on physical access control.
  • There is a need for advanced methods to protect genetic information and biological samples.
  • Cybersecurity principles can be adapted to secure biological data and assets.

Purpose of the Study:

  • To develop and evaluate a cybersecurity-inspired platform for protecting biological assets at the genetic level.
  • To implement a DNA scrambling and molecular code system for genetic asset protection.
  • To assess the security efficacy of this novel platform through an ethical hacking approach.

Main Methods:

  • Designed a genetic asset as a scrambled DNA sequence.
  • Developed a temporal pattern of small molecules to regulate recombinases for DNA unscrambling.
  • Implemented a "blue team" to encrypt the DNA and a "red team" for ethical hacking.
  • Performed two iterations of testing to determine the probability of random access.

Main Results:

  • The developed platform successfully encrypted a DNA sequence, creating a genetic asset.
  • Ethical hacking attempts demonstrated a low probability of random access to the genetic asset.
  • Two testing iterations showed a 0.2% (2 in 990) chance of unauthorized access via random search.

Conclusions:

  • The cybersecurity-inspired platform effectively protects biological assets at the genetic level.
  • The permutation lock design using DNA scrambling and molecular codes provides robust security.
  • The achieved security level is comparable to theoretical targets, demonstrating the system's potential.