IEICE TRANSACTIONS on Fundamentals
A Practical Biometric Random Number Generator for Mobile Security Applications
Summary :
IDMs are getting more effective and secure with biometric recognition and more privacy-preserving with advanced cryptosystems. In order to meet privacy and security needs of an IDM, the cryptographic background should rely on reliable random number generation. In this study, a Biometric Random Number Generator (BRNG) is proposed which plays a crucial role in a typical cryptosystem. The proposed novel approach extracts the high-frequency information in biometric signal which is associated with uncertainty existing in nature of biometrics. This bio-uncertainty, utilized as an entropy source, may be caused by sensory noise, environmental changes, position of the biometric trait, accessories worn, etc. The filtered nondeterministic information is then utilized by a postprocessing technique to obtain a random number set fulfilling the NIST 800-22 statistical randomness criteria. The proposed technique presents random number sequences without need of an additional hardware.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E100-A No.1 pp.158-166
- Publication Date
- 2017/01/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E100.A.158
- Type of Manuscript
- Special Section PAPER (Special Section on Cryptography and Information Security)
- Category
Authors
Alper KANAK
Ergünler Co. R& D Cen., ERARGE
Salih ERGÜN
Ergünler Co. R& D Cen., ERARGE,Informatics & Information Security Res. Cen.
Keyword
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Alper KANAK, Salih ERGÜN, "A Practical Biometric Random Number Generator for Mobile Security Applications" in IEICE TRANSACTIONS on Fundamentals,
vol. E100-A, no. 1, pp. 158-166, January 2017, doi: 10.1587/transfun.E100.A.158.
Abstract: IDMs are getting more effective and secure with biometric recognition and more privacy-preserving with advanced cryptosystems. In order to meet privacy and security needs of an IDM, the cryptographic background should rely on reliable random number generation. In this study, a Biometric Random Number Generator (BRNG) is proposed which plays a crucial role in a typical cryptosystem. The proposed novel approach extracts the high-frequency information in biometric signal which is associated with uncertainty existing in nature of biometrics. This bio-uncertainty, utilized as an entropy source, may be caused by sensory noise, environmental changes, position of the biometric trait, accessories worn, etc. The filtered nondeterministic information is then utilized by a postprocessing technique to obtain a random number set fulfilling the NIST 800-22 statistical randomness criteria. The proposed technique presents random number sequences without need of an additional hardware.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E100.A.158/_p
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@ARTICLE{e100-a_1_158,
author={Alper KANAK, Salih ERGÜN, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Practical Biometric Random Number Generator for Mobile Security Applications},
year={2017},
volume={E100-A},
number={1},
pages={158-166},
abstract={IDMs are getting more effective and secure with biometric recognition and more privacy-preserving with advanced cryptosystems. In order to meet privacy and security needs of an IDM, the cryptographic background should rely on reliable random number generation. In this study, a Biometric Random Number Generator (BRNG) is proposed which plays a crucial role in a typical cryptosystem. The proposed novel approach extracts the high-frequency information in biometric signal which is associated with uncertainty existing in nature of biometrics. This bio-uncertainty, utilized as an entropy source, may be caused by sensory noise, environmental changes, position of the biometric trait, accessories worn, etc. The filtered nondeterministic information is then utilized by a postprocessing technique to obtain a random number set fulfilling the NIST 800-22 statistical randomness criteria. The proposed technique presents random number sequences without need of an additional hardware.},
keywords={},
doi={10.1587/transfun.E100.A.158},
ISSN={1745-1337},
month={January},}
Copy
TY - JOUR
TI - A Practical Biometric Random Number Generator for Mobile Security Applications
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 158
EP - 166
AU - Alper KANAK
AU - Salih ERGÜN
PY - 2017
DO - 10.1587/transfun.E100.A.158
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E100-A
IS - 1
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - January 2017
AB - IDMs are getting more effective and secure with biometric recognition and more privacy-preserving with advanced cryptosystems. In order to meet privacy and security needs of an IDM, the cryptographic background should rely on reliable random number generation. In this study, a Biometric Random Number Generator (BRNG) is proposed which plays a crucial role in a typical cryptosystem. The proposed novel approach extracts the high-frequency information in biometric signal which is associated with uncertainty existing in nature of biometrics. This bio-uncertainty, utilized as an entropy source, may be caused by sensory noise, environmental changes, position of the biometric trait, accessories worn, etc. The filtered nondeterministic information is then utilized by a postprocessing technique to obtain a random number set fulfilling the NIST 800-22 statistical randomness criteria. The proposed technique presents random number sequences without need of an additional hardware.
ER -
English
