DNAcrypt-AI protocol for generating and encrypting a password v1
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