QUALITY ANALYSIS OF PINK NOISE GENERATORS

The article set the task of comprehensively assessing the quality of pink noise generators using three different analytical methods and criteria. The study is aimed at solving the current problem of ensuring reliable protection of confidential speech information from unauthorized access through acoustic leakage channels in the face of growing threats to information security. The methodological basis of the study includes three main approaches to assessing the quality of generators: determining the noise quality coefficient using the asymmetry and kurtosis coefficients, which allows assessing the compliance of the distribution of signal values ​​with the normal law; determining the entropy quality coefficient using the entropy formula for the normal Gaussian distribution; determining the entropy coefficient of the quality of the distribution of the noise signal envelope based on the Rayleigh distribution. The experimental part of the study is based on a comparative analysis of two types of pink noise generators with processing of 10-second samples of 441,000 samples. The reference sample was taken as a hardware acoustic noise generator of the ST-NG1 brand, which is used to protect acoustic information in office premises and has certified characteristics. For comparison, a software generator created using the Python programming language using a pseudo-random sequence and digital filtering algorithms was studied. The results of experimental studies demonstrated the different effectiveness of the applied evaluation methods. The most informative was the method of determining the quality entropy coefficient of the envelope signal distribution, which provided a clear differentiation between the generators used. The practical significance of the research results lies in the possibility of applying the obtained approaches for certification and quality control of acoustic information protection means. Promising directions for further research were identified to expand the experimental base of the study and involve a larger number of types of generators from different manufacturers and different principles of operation for the universality of the proposed methods.

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Publication Details

Journal
Cybersecurity Education Science Technique
Published
2025-01-01
DOI
https://doi.org/10.28925/2663-4023.2025.29.940
Primary Topic
Speech and Audio Processing
Type
article
Field-Weighted Citation Impact
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article

QUALITY ANALYSIS OF PINK NOISE GENERATORS

Artem Platonenko, V. N. Romaniuk
Cybersecurity Education Science Technique
Speech and Audio Processing
article

QUALITY ANALYSIS OF PINK NOISE GENERATORS

Artem Platonenko, V. N. Romaniuk
article en

Abstract

The article set the task of comprehensively assessing the quality of pink noise generators using three different analytical methods and criteria. The study is aimed at solving the current problem of ensuring reliable protection of confidential speech information from unauthorized access through acoustic leakage channels in the face of growing threats to information security. The methodological basis of the study includes three main approaches to assessing the quality of generators: determining the noise quality coefficient using the asymmetry and kurtosis coefficients, which allows assessing the compliance of the distribution of signal values ​​with the normal law; determining the entropy quality coefficient using the entropy formula for the normal Gaussian distribution; determining the entropy coefficient of the quality of the distribution of the noise signal envelope based on the Rayleigh distribution. The experimental part of the study is based on a comparative analysis of two types of pink noise generators with processing of 10-second samples of 441,000 samples. The reference sample was taken as a hardware acoustic noise generator of the ST-NG1 brand, which is used to protect acoustic information in office premises and has certified characteristics. For comparison, a software generator created using the Python programming language using a pseudo-random sequence and digital filtering algorithms was studied. The results of experimental studies demonstrated the different effectiveness of the applied evaluation methods. The most informative was the method of determining the quality entropy coefficient of the envelope signal distribution, which provided a clear differentiation between the generators used. The practical significance of the research results lies in the possibility of applying the obtained approaches for certification and quality control of acoustic information protection means. Promising directions for further research were identified to expand the experimental base of the study and involve a larger number of types of generators from different manufacturers and different principles of operation for the universality of the proposed methods.

Cybersecurity Education Science TechniqueVol. 1(29)
Borys Grinchenko Kyiv Metropolitan University (UA)
Openalex Percentile: Top 66%
Speech and Audio Processing
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