Method for Assessing Noise Quality Based on Entropy Quality Factor

Authors

  • Nurgul A. Seilova
  • Sergiy O. Gnatyuk
  • Askhat A. Batyrgaliyev
  • Zhanibek A. Dzhangozin
  • Dana A. Baibatchayeva
  • Nurbol Nurgabylov
  • Renat Ibraev

DOI:

https://doi.org/10.47839/ijc.23.2.3536

Keywords:

protection of information, masking noise signal, noise generator, spectrum analyzer, entropy factor

Abstract

The work analyzes the existing approaches to solving the problem of a comprehensive study of the qualitative characteristics of side electromagnetic emission generators. In addition, methods and means of information leakage through the channels of side electromagnetic emission are considered, which make it possible to evaluate the effectiveness of noise generators. Electromagnetic emission can propagate in almost all environments. Side electromagnetic emission is one of the effective ways to protect computer equipment from information leakage through the channel of side electromagnetic emissions and interference. The masking noise is generated by the noise generator, and the quality factor of the masking noise is the quality factor of the entropy noise. In addition, measurements of masking noise interference using a spectrum analyzer and an oscilloscope are carried out and a method for estimating the entropy noise quality coefficient (ENQC) is proposed. The calculated value of the entropy noise quality factor is compared with the normalized value set for this type of noise generator. The novelty of the work is the development of a new method for assessing the quality of masking noise interference, based on the calculation of the entropy quality coefficient, as well as the development of software for automating the calculation. The study of the quality characteristics of the noise generator (NG) taking into account the design of a mock-up sample of the device, which is a complex work. In turn, based on the results obtained, it is possible to develop specialized automated tools for assessing the quality of masking noise interference.

References

M. Chapple, J. M. Stewart, D. Gibson, “Protecting security of assets,” in (ISC)2 CISSP Certified Information Systems Security Professional Official Study Guide, Wiley, 2021, pp. 179-218.

S. Gnatyuk, “Critical aviation information systems cybersecurity,” Meeting Security Challenges Through Data Analytics and Decision Support, NATO Science for Peace and Security Series, D: Information and Communication Security. IOS Press Ebooks, vol. 47, no. рр. 308-316, 2016.

Z. Zou, Y. Hou, H. Yang, B. Wang and R. Yang, “Research on information security protection system of industrial control system,” Proceedings of the 2020 IEEE 9th Joint International Information Technology and Artificial Intelligence Conference (ITAIC), 2020, pp. 2311-2314, https://doi.org/10.1109/ITAIC49862.2020.9338955.

E. G. Agrawal and D. S. J. Goyal, “Survey on data leakage prevention through machine learning algorithms,” Proceedings of the 2022 International Mobile and Embedded Technology Conference (MECON), 2022, pp. 121-123, https://doi.org/10.1109/MECON53876.2022.9752047.

L. J. Gunn, N. Asokan, J.-E. Ekberg, H. Liljestrand, V. Nayani, T. Nyman, Hardware Platform Security for Mobile Devices, Nov. 2022. https://doi.org/10.1561/9781680839777.

A. B. Batyrgaliev, “Approaches to assessing the noise quality of spatial electromagnetic noise generators,” Proceedings of the II International Scientific and Technical Forum on Modern Technologies in Science and Education STNO’2019, vol. 5, 2019, pp. 17-19.

Z. Zh. Zhanabaev, N. E. Almasbekov, A. K. Imanbaeva, A. B. Manapbaeva and S. N. Akhtanov, “Information protection by dynamic chaos with phase control,” Proceedings of the 7th Conference “Chaos and structures in non-linear systems”, Karaganda, 2010, pp. 13-20.

G. D. Kogai and T. L. Ten, “Methods and models of chaotic processes in communication systems,” Modern High Technology, no. 10, pp. 61-64, 2014.

S. Koteshwara, “Security risk assessment of server hardware architectures using graph analysis,” Proceedings of the 2021 Asian Hardware Oriented Security and Trust Symposium (AsianHOST), Shanghai, China, 2021, pp. 1-4, https://doi.org/10.1109/AsianHOST53231.2021.9699554.

A. B. Batyrgaliev, N. K. Smailov, “Overview of methods for estimating the quality of masking noise,” Polish Journal of Science, no. 14 (2019), vol. 1, pp. 33-35, 2019.

S. Arslan and B. S. Yıldırım, “A broadband microwave noise generator using zener diodes and a new technique for generating white noise,” IEEE Microwave and Wireless Components Letters, vol. 28, no. 4, pp. 329-331, 2018, https://doi.org/10.1109/LMWC.2018.2808422.

V. Srivastava, A. Majumdar and A. Jeyasekar, “Performance analysis of data leakage detection system,” Proceedings of the 2022 3rd International Conference for Emerging Technology (INCET), 2022, pp. 1-5, https://doi.org/10.1109/INCET54531.2022.9824111.

K. Borders and A. Prakash, “Quantifying information leaks in outbound web traffic,” Proceedings of the 2009 30th IEEE Symposium on Security and Privacy, 2009, pp. 129-140, https://doi.org/10.1109/SP.2009.9.

Y. Zhao, L. Yang, Z. Li, L. He and Y. Zhang, “Privacy model: Detect privacy leakage for chinese browser extensions,” IEEE Access, vol. 9, pp. 44502-44513, 2021, https://doi.org/10.1109/ACCESS.2021.3063814.

P. Jafarian and H. Eskandari, “The influence of communication channel on the performance of line differential protection,” Proceedings of the 2022 International Conference on Protection and Automation of Power Systems (IPAPS), 2022, pp. 1-6, https://doi.org/10.1109/IPAPS55380.2022.9763170.

W. Yu, W. Yao, X. Deng, Y. Zhao and Y. Liu, “Timestamp shift detection for synchrophasor data based on similarity analysis between relative phase angle and frequency,” IEEE Transactions on Power Delivery, vol. 35, no. 3, pp. 1588-1591, 2020, https://doi.org/10.1109/TPWRD.2019.2937045.

W. Lv, C. Shen, F. Gui, Z. Tian and D. Jiang, “Real-time spectrum analyzer based on all phase FFT spectrum analysis,” Proceedings of the 2013 Fourth International Conference on Digital Manufacturing & Automation, 2013, pp. 966-969, https://doi.org/10.1109/ICDMA.2013.226.

X. Zhang, Y. Hu, Y. Yang and Y. Wang, “Research on high speed spectrum analyzer based on Fourier domain mode locked laser,” Proceedings of the 2021 6th International Conference on Smart Grid and Electrical Automation (ICSGEA), 2021, pp. 597-600, https://doi.org/10.1109/ICSGEA53208.2021.00140.

N. Takahashi, S. Ishigami and K. Kawamata, “Basic study of electromagnetic noise waveform extraction using independent component analysis,” Proceedings of the 2021 IEEE Asia-Pacific Microwave Conference (APMC), 2021, pp. 473-475, https://doi.org/10.1109/APMC52720.2021.9661884.

S. Shahparnia and O. M. Ramahi, “Electromagnetic interference (EMI) reduction from printed circuit boards (PCB) using electromagnetic bandgap structures,” IEEE Transactions on Electromagnetic Compatibility, vol. 46, no. 4, pp. 580-587, 2004, https://doi.org/10.1109/TEMC.2004.837671.

M. S. Ul Hasan, A. K. Rai, Groundwater quality assessment in the Lower Ganga Basin using entropy information theory and GIS, Journal of Cleaner Production, Volume 274, 123077, 2020, https://doi.org/10.1016/j.jclepro.2020.123077.

H. Lin, T. Pan, & S. Chen, “Comprehensive evaluation of urban air quality using the relative entropy theory and improved TOPSIS method,” Air Qual Atmos Health , vol. 14, pp. 251–258, 2021. https://doi.org/10.1007/s11869-020-00930-7

N. Adimalla, “Application of the entropy weighted water quality index (EWQI) and the pollution index of groundwater (PIG) to assess groundwater quality for drinking purposes: A case study in a rural area of Telangana State, India,” Arch Environ Contam Toxicol, vol. 80, pp. 31–40, 2021. https://doi.org/10.1007/s00244-020-00800-4.

A. S. Morgans, I. Duran, “Entropy noise: A review of theory, progress and challenges,” International Journal of Spray and Combustion Dynamics, vol. 8, issue 4, pp. 285-298, 2016. https://doi.org/10.1177/1756827716651791.

A. Feinberg, “Origin of l/f noise-active degradation generating entropy,” Proceedings of the 2020 Annual Reliability and Maintainability Symposium (RAMS), Palm Springs, USA, 2020, pp. 1-6, https://doi.org/10.1109/RAMS48030.2020.9153628.

V. Korchynskyi, V. Hordiichuk, V. Kildishev, S. Staikutsa, O. Riabukha, Khaled Alfaiomi, “Method of information protection based on the integration of probabilistic encryption and noise immune coding,” Radioelectronic and Computer Systems, no. 4(108), pp. 184-196, 2023, https://doi.org/10.32620/reks.2023.4.13.

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Published

2024-09-09

How to Cite

Seilova, N. A., Gnatyuk, S. O., Batyrgaliyev, A. A., Dzhangozin, Z. A., Baibatchayeva, D. A., Nurgabylov, N., & Ibraev, R. (2024). Method for Assessing Noise Quality Based on Entropy Quality Factor. International Journal of Computing, 23(2), 187-195. https://doi.org/10.47839/ijc.23.2.3536

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