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.
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2020-11-01
|
| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-020-19757-y |
| _version_ | 1828954846669045760 |
|---|---|
| author | Linda C. Meiser Julian Koch Philipp L. Antkowiak Wendelin J. Stark Reinhard Heckel Robert N. Grass |
| author_facet | Linda C. Meiser Julian Koch Philipp L. Antkowiak Wendelin J. Stark Reinhard Heckel Robert N. Grass |
| author_sort | Linda C. Meiser |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-14T07:37:59Z |
| format | Article |
| id | doaj.art-5f9731750d1f4531a6ae062f71a3d758 |
| institution | Directory Open Access Journal |
| issn | 2041-1723 |
| language | English |
| last_indexed | 2024-12-14T07:37:59Z |
| publishDate | 2020-11-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj.art-5f9731750d1f4531a6ae062f71a3d7582022-12-21T23:11:08ZengNature PortfolioNature Communications2041-17232020-11-011111910.1038/s41467-020-19757-yDNA synthesis for true random number generationLinda C. Meiser0Julian Koch1Philipp L. Antkowiak2Wendelin J. Stark3Reinhard Heckel4Robert N. Grass5Department of Chemistry and Applied Biosciences, Institute for Chemical and Bioengineering, ETH ZurichDepartment of Chemistry and Applied Biosciences, Institute for Chemical and Bioengineering, ETH ZurichDepartment of Chemistry and Applied Biosciences, Institute for Chemical and Bioengineering, ETH ZurichDepartment of Chemistry and Applied Biosciences, Institute for Chemical and Bioengineering, ETH ZurichDepartment of Electrical and Computer Engineering, Technical University of MunichDepartment of Chemistry and Applied Biosciences, Institute for Chemical and Bioengineering, ETH ZurichLarge 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.https://doi.org/10.1038/s41467-020-19757-y |
| spellingShingle | Linda C. Meiser Julian Koch Philipp L. Antkowiak Wendelin J. Stark Reinhard Heckel Robert N. Grass DNA synthesis for true random number generation Nature Communications |
| title | DNA synthesis for true random number generation |
| title_full | DNA synthesis for true random number generation |
| title_fullStr | DNA synthesis for true random number generation |
| title_full_unstemmed | DNA synthesis for true random number generation |
| title_short | DNA synthesis for true random number generation |
| title_sort | dna synthesis for true random number generation |
| url | https://doi.org/10.1038/s41467-020-19757-y |
| work_keys_str_mv | AT lindacmeiser dnasynthesisfortruerandomnumbergeneration AT juliankoch dnasynthesisfortruerandomnumbergeneration AT philipplantkowiak dnasynthesisfortruerandomnumbergeneration AT wendelinjstark dnasynthesisfortruerandomnumbergeneration AT reinhardheckel dnasynthesisfortruerandomnumbergeneration AT robertngrass dnasynthesisfortruerandomnumbergeneration |