DNAcrypt-AI protocol for generating and encrypting a password v1

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Authors: Maria João Santos, Chikie Lynn
Cited by: 1

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.

Fields of Study & Subjects

Fractal and DNA sequence analysis DNA and Biological Computing Genetics Bioinformatics and Biomedical Research

Publication details

Publisher
Springer Science and Business Media LLC
Publication date
10 January 2026
Document type
Preprint