A Design of Reliable True Random Number Generator for Cryptographic Applications
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A Provably Secure True Random Number Generator with Built-In Tolerance to Active Attacks
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True Random Number Generators Using Electrical Noise
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“After being amplified, noise is sampled and quantized in circuit devices [2], [41].”
MethodA High Speed IC Truly Random Number Generator Based on Chaotic Sampling of Regular Waveform
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True Random Number Generation Via Sampling From Flat Band-Limited Gaussian Processes
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An Offset-Compensated Oscillator-Based Random Bit Source for Security Applications
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Self-citationA digital IC Random Number Generator with logic gates only
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Maximizing randomness in ring oscillators for security applications
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Guler, U., Pusane, A. E., & Dundar, G. (2014) · 2014 International Conference on Information Science, Electronics and Electrical Engineering · doi:10.1109/infoseee.2014.6947786 · Cited by 9 · see citing works
- Authors
- Bagini, V., & Bucci, M.
- Affiliations
- Fondazione "Ugo Bordoni" (IT)
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 1999
- Pages
- 204-218
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W206222754
- Cited by
- 101
- References
- 18
- Citations by year
- 2025: 5 · 2024: 4 · 2022: 4 · 2021: 2 · 2020: 11 · 2019: 9 · 2018: 8 · 2017: 4 · 2016: 2 · 2015: 2 · 2014: 5 · 2013: 4
- FWCI
- 0.53
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Lecture notes in computer science (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Hardware and Architecture › Physical Unclonable Functions (PUFs) and Hardware Security
- Physical Sciences › Computer Science › Artificial Intelligence › Cryptographic Implementations and Security
- Physical Sciences › Computer Science › Artificial Intelligence › Coding theory and cryptography
- Keywords
- true random number generator, cryptographic randomness, bias suppression, failure analysis, analytical model, circuit parameter variation, hardware reliability
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