The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
On Using a Von Neumann Extractor in Heart-Beat-Based Security
Abstract
The Inter-Pulse-Interval (IPI) of heart beats has previously been suggested for facilitating security in mobile health (mHealth) applications. In heart-beat-based security, a security key is derived from the time difference between consecutive heart beats. As two entities that simultaneously sample the same heart beats may generate the same key (with some inter-key disparity), these keys may be used for various security functions, such as entity authentication or data confidentiality. One of the key limitations in heart-beat-based security is the low randomness intrinsic to the most-significant bits (MSBs) in the digital representation of each IPI. In this paper, we explore the use of a von Neumann entropy extractor on these MSBs in order to increase their randomness. We show that our von Neumann key-generator produces significantly more random bits than a non-extracting key generator with an average bit-extraction rate between 13.4% and 21.9%. Despite this increase in randomness, we also find a substantial increase in inter-key disparity, increasing the mismatch tolerance required for a given true-key pair. Accordingly, the maximum-attainable effective key-strength of our key generator is only slightly higher than that of a non-extracting generator (16.4 bits compared to 15.2 bits of security for a 60-bit key), while the former requires an increase in average key-generation time of 2.5x.
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“As the number of bits decreases, the randomness tends to improve (44, 45).”
From Cryptographic transistor for true random number generator with low power consumption (2024) · cites this paper as [44]
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Cites
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Research works printed but not linked: 2
- 10.1145/584091.584093 · DOI
- von neumann, 1951, Various techniques used in connection with random digits, Monte Carlo Method National Bureau of Standards Applied Math, 36
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Sorted by citations
Cryptographic transistor for true random number generator with low power consumption
Kim, S.-I., You, H.-J., Kim, M.-S., An, U.-S., Kim, M.-S., Lee, D. H., Ryu, S.-T., & Choi, Y.-K. (2024) · Science Advances · doi:10.1126/sciadv.adk6042 · Cited by 33
“As the number of bits decreases, the randomness tends to improve ( 44 , 45 ).”
Metadata
- Authors
- Seepers, R. M., Strydis, C., Sourdis, I., & De Zeeuw, C. I.
- Affiliations
- Erasmus MC (NL)
- Chalmers University of Technology (SE)
- Venue
- 2015 IEEE Trustcom/BigDataSE/ISPA
- Publisher
- IEEE
- Published
- 2015-08
- Pages
- 491-498
- OpenAlex
- W4247436492
- Cited by
- 10
- References
- 17
- Citations by year
- 2024: 1 · 2023: 2 · 2021: 2 · 2020: 1 · 2019: 1 · 2018: 2 · 2017: 1
- FWCI
- 0.74
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) (publishedVersion)
- EUR Research Repository (Erasmus University Rotterdam) (submittedVersion)
- Chalmers Research (Chalmers University of Technology) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › Advanced Authentication Protocols Security
- Physical Sciences › Computer Science › Information Systems › User Authentication and Security Systems
- Physical Sciences › Computer Science › Signal Processing › Biometric Identification and Security
- Keywords
- von Neumann extractor, interpulse interval, randomness extraction, entity authentication, key strength
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- The paper
- Seepers, R. M., Strydis, C., Sourdis, I., & De Zeeuw, C. I. (2015). On Using a Von Neumann Extractor in Heart-Beat-Based Security. 2015 IEEE Trustcom/BigDataSE/ISPA. https://doi.org/10.1109/trustcom.2015.411
