Team:Groningen/Model

CryptoGE®M
Team
Project
Biology
Computing
Human Practice
Acknowledgements

Modelling

We modelled several aspects of the CryptoGErM system. These models are described and explained in detail in the following articles:

  • The AI model explores the behaviour of the people who use, or try to abuse, the CryptoGErM system. The people are modelled in a multi-agent simulation using genetic algorithms.
  • Mutation Rates contains research of the literature on known mutation rates of Bacillus under the special conditions and treatments that will be applied.
  • In the Decoding Fidelity section we explore how accurate the current sequencing techniques are and how strong our decoy encryption security layer is.
  • Random Mutation uses computational modelling to calculate the probability of random mutations causing our message in the DNA to be corrupted.
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