The Cell Cycle as a Framework for Layered Encryption Systems in Bio-Computing
Abstract
Chur Chin
The cell cycle, a tightly regulated sequence of events enabling cellular replication and division, offers an innovative paradigm for data encryption in molecular and artificial intelligence-integrated systems. We propose a model where phases of the eukaryotic cell cycle—interphase, mitosis, and meiosis—are mapped to key cryptographic operations: replication, validation, error checking, redundancy, and secure transmission. In particular, we use DNA replication fidelity during S phase, homologous recombination in meiosis, and checkpoint control in G1/S and G2/M transitions as analogs for secure data generation, obfuscation, and access control. We also highlight mitotic checkpoints and kinetochore alignment as models for data integrity verification. This bio-inspired approach enables the design of hierarchical encryption systems with layered keys, phase-specific activation, and recombination-driven scrambling.
