Paper 2020/745 Original: eprint.iacr.org/2020/745 ↗
True Random Number Generation Based on DNA molecule Genetic Information (DNA-TRNG)
Abstract
In digital world cryptographic algorithms protect sensitive information from intruder during communication. True random number generation is used for Cryptography algorithms as key value encryption and decryption process. To develop unbreakable algorithms key as one important parameter for Cryptography .We proposed DNA based True random number generation.DNA is deoxyribonucleic acid chemical molecule present in all living cells. DNA molecule consists of 4 nucleotides A-adenine,T-Thymine,G-Guanine and CCytosine. DNA molecules have uniqueness properties like Each person in the world distinguish based on DNA sequences and genes. The proposed algorithm pass NIST SP 800-22 test suite for DNA based true random number generation with highest Entropy,FFT,Block Frequency and Linear Complexity.
Metadata
- Available format(s)
PDF- Category
- Applications
- Publication info
- Preprint.
- History
- 2020-06-21: last updated
- 2020-06-21: published
- Short URL
- https://ia.cr/2020/745
- License
- https://creativecommons.org/licenses/by/4.0/
BibTeX
@misc{cryptoeprint:2020/745,
author = {Siddaramappa V and Ramesh K B},
title = {True Random Number Generation Based on DNA molecule Genetic Information (DNA-TRNG)},
howpublished = {Cryptology {ePrint} Archive, Paper 2020/745},
year = {2020},
url = {https://eprint.iacr.org/2020/745}
}