DNA synthesis for true random number generation
Large volumes of true random numbers are needed for increasing requirements of secure data encryption. Here the authors use the stochastic nature of DNA synthesis to obtain millions of gigabytes of unbiased randomness.
Saved in:
Main Authors: | Linda C. Meiser, Julian Koch, Philipp L. Antkowiak, Wendelin J. Stark, Reinhard Heckel, Robert N. Grass |
---|---|
Format: | article |
Language: | EN |
Published: |
Nature Portfolio
2020
|
Subjects: | |
Online Access: | https://doaj.org/article/5f9731750d1f4531a6ae062f71a3d758 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A novel true random number generator based on a stochastic diffusive memristor
by: Hao Jiang, et al.
Published: (2017) -
Self-clocking fast and variation tolerant true random number generator based on a stochastic mott memristor
by: Gwangmin Kim, et al.
Published: (2021) -
Quantum generators of random numbers
by: Marcin M. Jacak, et al.
Published: (2021) -
True random coded photon counting Lidar
by: Liu Bo, et al.
Published: (2020) -
Identifying the true number of specimens of the extinct blue antelope (Hippotragus leucophaeus)
by: Elisabeth Hempel, et al.
Published: (2021)