Review on Using Biometric Signals in Random Number Generators.

Bansal, Mohit

doi:10.21474/ijar01/8981

Cited by 1 publication

(1 citation statement)

References 9 publications

(15 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Physical biometric traits represent good entropy sources to generate random numbers that are close to TRNG. However, not all these biometric sources can be utilized for generating random numbers, hence, it depends on applying a comprehensive test to decide if the biometric source is appropriate or not 9 . Recently, there are several researchers who worked towards biometric-based keys generation systems, and some of these systems are integrated with chaotic maps to obtain unpredictable random keys for cryptographic applications, and the quality of the generated keys is verified by using the statistical test suites such as the National Institute of Standard and Technology (NIST) tests.…”

Section: Related Workmentioning

confidence: 99%

Retina Based Glowworm Swarm Optimization for Random Cryptographic Key Generation

Mazher

Waleed

2022

Baghdad Sci.J

View full text Add to dashboard Cite

The biometric-based keys generation represents the utilization of the extracted features from the human anatomical (physiological) traits like a fingerprint, retina, etc. or behavioral traits like a signature. The retina biometric has inherent robustness, therefore, it is capable of generating random keys with a higher security level compared to the other biometric traits. In this paper, an effective system to generate secure, robust and unique random keys based on retina features has been proposed for cryptographic applications. The retina features are extracted by using the algorithm of glowworm swarm optimization (GSO) that provides promising results through the experiments using the standard retina databases. Additionally, in order to provide high-quality random, unpredictable, and non-regenerated keys, the chaotic map has been used in the proposed system. In the experiments, the NIST statistical analysis which includes ten statistical tests has been employed to check the randomness of the generated binary bits key. The obtained random cryptographic keys are successful in the tests of NIST, in addition to a considerable degree of aperiodicity.

show abstract

Section: Related Workmentioning

confidence: 99%