Publications

DNAcrypt-AI protocol for generating and encrypting a secret key

Abstract: DNAcrypt-AI is a human genome-inspired cryptographic framework that leverages k-mer-based alphanumeric encoding, genome vocabulary, sequence reconstruction, and sequence-informed machine learning to generate and encrypt digital credentials as genome coordinates. This protocol describes the procedure for generating a fixed-length secret key (16 characters) and encrypting it using DNAcrypt-AI. Unlike passwords that may comprise alphanumeric characters and symbols, secret keys are devoid of symbols. The pipeline is implemented on Google Colab and integrates a high-throughput DNA sequence reconstitution pipeline (FAS2rDNA) with a sequence intelligence model (Covary) to randomly generate a plaintext key into an encrypted, non-human-readable genome metadata representation. The protocol generated the expected secret key of 16 characters long and provided an encryption data that can be used for decryption and password recovery.

DOI: dx.doi.org/10.17504/protocols.io.14egn12k6v5d/v1

DNAcrypt-AI protocol for generating and encrypting a password

Abstract: DNAcrypt-AI is a human genome-inspired cryptographic framework that leverages k-mer-based alphanumeric and symbol encoding, genome vocabulary, sequence reconstruction, and sequence-informed machine learning to generate and encrypt digital credentials as genome coordinates. This protocol describes the procedure for generating a fixed-length password (16 characters) and encrypting it using DNAcrypt-AI. The pipeline is implemented on Google Colab and integrates a high-throughput DNA sequence reconstitution pipeline (FAS2rDNA) with a sequence intelligence model (Covary) to randomly generate a plaintext password into an encrypted, non-human-readable genome metadata representation. The protocol generated the expected password text of 16 characters long and provided an encryption data that can be used for decryption and password recovery.

DOI: dx.doi.org/10.17504/protocols.io.bp2l6e951gqe/v1

Decryption of genome-encoded cryptographic keys using DNAcrypt-AI

Abstract: DNAcrypt-AI is a human genome-based cryptographic framework that leverages k-mer-based alphanumeric encoding, genome vocabulary, sequence reconstruction, and sequence-informed machine learning to enable controlled decryption of encrypted digital credentials. This protocol describes the procedure for decrypting an encrypted secret key generated using DNAcrypt-AI, restoring the original fixed-length plaintext key from its genome metadata representation. The decryption workflow is implemented on Google Colab and integrates a high-throughput DNA sequence reconstitution pipeline (FAS2rDNA) with a sequence intelligence model (Covary) to reconstruct the encrypted genome coordinates into a human-readable secret key. The protocol successfully recovered the expected 16-character secret key, demonstrating reproducible reversibility of the DNAcrypt-AI encryption-decryption cycle for research and educational use.

DOI: dx.doi.org/10.17504/protocols.io.5qpvo1387g4o/v1