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

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Abstract

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.

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