DNA-based random number generation in security circuitry
Open accessAbstract
DNA-based circuit design is an area of research in which traditional silicon-based technologies are replaced by naturally occurring phenomena taken from biochemistry and molecular biology. This research focuses on further developing DNA-based methodologies to mimic digital data manipulation. While exhibiting fundamental principles, this work was done in conjunction with the vision that DNA-based circuitry, when the technology matures, will form the basis for a tamper-proof security module, revolutionizing the meaning and concept of tamper-proofing and possibly preventing it altogether based on accurate scientific observations. A paramount part of such a solution would be self-generation of random numbers. A novel prototype schema employs solid phase synthesis of oligonucleotides for random construction of DNA sequences; temporary storage and retrieval is achieved through plasmid vectors. A discussion of how to evaluate sequence randomness is included, as well as how these techniques are applied to a simulation of the random number generation circuitry. Simulation results show generated sequences successfully pass three selected NIST random number generation tests specified for security applications.
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Previous work theoretically proposed a scheme for a possible automated workflow for DNA random number generation, but the physical realization of the theory and experimental limitations were not investigated.
“Previous work has presented the idea of simulation of the DNA random number generation circuitry by theoretically proposing a scheme for a possible automated workflow for DNA random number generation. However, the physical realization of the theory and the experimental limitations were not investigated21,22.”
From DNA synthesis for true random number generation (2020) · cites this paper as [21]
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DNA synthesis for true random number generation
Meiser, L. C., Koch, J., Antkowiak, P. L., Stark, W. J., Heckel, R., & Grass, R. N. (2020) · Nature Communications · doi:10.1038/s41467-020-19757-y · Cited by 45 · see citing works
- Authors
- Gearheart, C. M., Arazi, B., & Rouchka, E. C.
- Affiliations
- University of Louisville (US)
- Ben-Gurion University of the Negev (IL)
- Corresponding author
- Rouchka, Eric C.
- Venue
- Biosystems
- Publisher
- Elsevier BV
- Published
- 2010-06
- Volume
- 100
- Issue
- 3
- Pages
- 208-214
- ISSN
- 0303-2647 (ISSN-L)
- PMC
- PMC2864803
- OpenAlex
- W1972152317
- Cited by
- 17
- References
- 14
- Citations by year
- 2026: 2 · 2024: 2 · 2023: 1 · 2020: 2 · 2018: 1 · 2016: 1 · 2015: 1 · 2014: 4 · 2013: 1 · 2012: 1
- FWCI
- 0.39
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Biosystems (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health
- National Institute of General Medical Sciences (P20GM103436)
- National Institute of Environmental Health Sciences (P30ES014443)
- National Center for Research Resources (P20RR016481)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › DNA and Biological Computing
- Physical Sciences › Computer Science › Hardware and Architecture › Physical Unclonable Functions (PUFs) and Hardware Security
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Advanced biosensing and bioanalysis techniques
- Keywords
- random number generation, DNA computing, solid-phase oligonucleotide synthesis, plasmid vectors, NIST randomness tests
- MeSH terms
- Base Sequence, Plasmids, Random Allocation, Software, Computer Security, Computers, Molecular, Microfluidic Analytical Techniques, Systems Biology
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