A Comparison of Post-Processing Techniques for Biased Random Number Generators
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The Von Neumann generator has a large loss of data, as at least 75% of the input is discarded.
“However, the big drawback of the Von Neumann generator is the large loss of data, as at least 75% of the input is being discarded. This implies that the input needs to be sufficiently large9,40.”
From DNA synthesis for true random number generation (2020) · cites this paper as [9]
The output of the Von Neumann corrector is expected to be perfectly unbiased.
“The output of the Von Neumann corrector is expected to be perfectly unbiased9,40,41”
From DNA synthesis for true random number generation (2020) · cites this paper as [9]
The Von Neumann corrector does not introduce any additional source of randomness into the data.
“Out of the existing options, we have chosen to apply the Von Neumann corrector to our set of data, as it is very simple to use, and does not introduce any additional source of randomness into the data, allowing the analysis of the random nature of the physical data9,40.”
From DNA synthesis for true random number generation (2020) · cites this paper as [9]
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- Authors
- Kwok, S.-H., Ee, Y.-L., Chew, G., Zheng, K., Khoo, K., & Tan, C.-H.
- Affiliations
- DSO National Laboratories (SG)
- National University of Singapore (SG)
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2011
- Volume
- LNCS-6633
- Pages
- 175-190
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W1564309918
- Cited by
- 57
- References
- 9
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 5 · 2023: 6 · 2022: 3 · 2021: 4 · 2020: 8 · 2019: 8 · 2018: 5 · 2017: 3 · 2016: 1 · 2015: 3 · 2014: 6 · 2013: 1
- FWCI
- 1.72
- Type
- conference paper
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Lecture notes in computer science (publishedVersion)
- National University of Singapore (submittedVersion)
- HAL (submittedVersion, cc-by)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Cryptographic Implementations and Security
- Physical Sciences › Computer Science › Artificial Intelligence › Coding theory and cryptography
- Physical Sciences › Computer Science › Information Systems › Cryptography and Residue Arithmetic
- Keywords
- post-processing, linear compression, randomness extraction, throughput, FPGA implementation, hardware implementation, resource utilization
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