Fluorescence In Situ Hybridization (FISH) as a Security System in DNA Computers Linked to Artificial Intelligence

Fluorescence in situ hybridization (FISH) is widely used in molecular biology for the detection of specific DNA sequences through fluorescent probes. This paper proposes a novel framework wherein FISH is reinterpreted as a biological security mechanism for DNA computers linked to artificial intelligence (AI). By enabling sequence-specific recognition, error detection, and identity validation through labeled probes, FISH introduces a robust molecular-level encryption and access control system. We demonstrate that FISH enhances security, fidelity, and selective activation in DNA-AI hybrid systems, thus offering a scalable model for biomolecular authentication and information shielding in quantum DNA computing environments.