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DNA as a Genetic Template

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Two structural features of the DNA molecule provide a basis for the mechanisms of heredity: the four nucleotide bases and its double-stranded nature. The Watson-Crick model of double-helical DNA structure, proposed in 1952, drew heavily upon the X-ray crystallography work of researchers Rosalind Franklin and Maurice Wilkins. Watson, Crick, and Wilkins jointly received the Nobel Prize in Physiology or Medicine for their work in 1962. Franklin was, controversially, excluded from the prize for...

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Updated: Nov 20, 2025

DNA-Tethered RNA Polymerase for Programmable In vitro Transcription and Molecular Computation

DNA-Tethered RNA Polymerase for Programmable In vitro Transcription and Molecular Computation

Published on: December 29, 2021

One-time-pad cipher algorithm based on confusion mapping and DNA storage technology.

Weiping Peng¹, Shuang Cui¹, Cheng Song¹

¹School of Computer Science and Technology, Henan Polytechnic University, Jiaozuo, Henan, China.

|January 20, 2021

Summary

This summary is machine-generated.

This study introduces a novel DNA-based one-time pad cipher using confusion mapping and DNA storage. The algorithm enhances computational security and simplifies biological operations for DNA cryptography.

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Area of Science:

Cryptography
Biotechnology
Information Security

Background:

Traditional DNA-based cryptography faces challenges in computational security and practical biological experiment implementation.
Existing methods struggle with large key spaces and complex operational procedures.

Purpose of the Study:

To propose a novel one-time pad cipher algorithm that integrates confusion mapping and DNA storage technology.
To enhance computational security and streamline biological operations in DNA cryptography.

Main Methods:

Developed a one-time pad cipher algorithm utilizing chaos map, encoding mapping, and confusion encoding tables.
Incorporated simulation of biological operations and DNA storage technologies (synthesis, high-throughput sequencing).
Employed security and confounding parameters to achieve a dynamic encryption/decryption process.

Main Results:

The algorithm significantly increases the key space through advanced confusion mapping techniques.
DNA storage technologies ensure a practical and viable biological encryption process.
Theoretical analysis and simulations confirm enhanced mathematical and biological security.

Conclusions:

The proposed algorithm offers superior computational security compared to existing methods.
It presents a robust defense against cracking due to the inherent difficulty of DNA biological experiments.
The integration of DNA storage technology provides a practical solution for biological encryption.