Impact of redundancy on the security of technical information leakage channels and approximate correction of the channel error probability

Authors

  • Sergii Ivanchenko Institute of special communication and information protection of National technical university of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Kyiv, Ukraine https://orcid.org/0000-0003-1850-9596
  • Vadym Yaroshchuk Institute of special communication and information protection of National technical university of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Kyiv, Ukraine https://orcid.org/0009-0002-5407-7911

DOI:

https://doi.org/10.20535/2411-1031.2025.13.1.328982

Keywords:

redundancy, error probability, correction codes, information security, optimal reception, Hamming code, information and communication systems

Abstract

The article considers the impact of redundancy on the security of technical information leakage channels and the approximate correction of the error probability in the channel in the absence of information about the origin of redundancy. The mechanisms of introducing redundancy into signals are investigated, which contribute to improving noise immunity by correcting errors, but also create risks of reducing the confidentiality of transmitted information. The article considers two main types of redundancy: artificial, which is formed through coding and control characters, and natural, which is a consequence of the peculiarities of the information source. The principles of its decoding differ significantly. This makes it impossible to directly apply error probability correction methods developed for artificial redundancy to natural redundancy. Artificial redundancy has a clear structure and is used to increase noise immunity, while natural redundancy arises from the characteristics of the information source, manifesting itself through correlations between symbols, repeated patterns and statistical regularities. The article considers the features of speech and visual channels, where natural redundancy plays a key role in error correction. In speech channels, it helps to increase the reliability of information reception due to the subjectivity of pronunciation and perception, and in visual channels - due to the regularity of pixel distribution in images. A new approach to decoding based on the ordering of code combinations by weight is proposed. The method of dividing possible 7-bit combinations into groups is used, which provides more efficient error correction. The traditional approach to error correction in the Hamming (7,4) code and its limitations at high levels of interference are also considered. The results obtained can be used to improve methods of increasing the reliability of data transmission and reducing the risks of information leakage through technical channels. Importantly, this method not only improves error correction, but also opens up new opportunities for adaptive coding in complex information transmission conditions. Its versatility makes it possible to apply the approach in various fields, from digital communications to speech signal processing.

Author Biographies

Sergii Ivanchenko, Institute of special communication and information protection of National technical university of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Kyiv

doctor of technical sciences, professor, professor of the department of security of state information resources

Vadym Yaroshchuk, Institute of special communication and information protection of National technical university of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Kyiv

cadet

References

S. Ivanchenko, O. Havrylenko, O. Lipsky, and A. Shevtsov, Technical channels of information leakage. The procedure for creating complexes of technical protection of information. Kyiv, Ukraine: ISCIP “KPI”, 2015.

P. Upadhyaya, “When Machine Learning Meets Information Theory: Some Practical Applications to Data Storage”, PhD dissertation, Texas A&M University, College Station, TX, USA, 2020.

T. Gruber, S. Cammerer, J. Hoydis, and S. Ten Brink, “On deep learning-based channel decoding”, in Proc. 51st Ann. Con. on Inf. Scien. and Sys. (CISS), Baltimore, MD, USA, pp. 16, 2017, doi: https://doi.org/10.1109/CISS.2017.7926071.

P. Upadhyaya, and A. Jiang, “Machine Learning for Error Correction with Natural Redundancy,” arXiv (Cornell University), 2019, doi: https://doi.org/10.48550/arXiv.1910.07420.

O. Nikulina, V. Severyn, and V. Sharov, “Development of a model of interference-resistant data transmission for information technology of control optimization of dynamic systems”, Bull. of NTU “KhPI”. Series: Sys. An., Cont. and In. Tec., iss. 2 (8), pp. 57-62, 2023, doi: https://doi.org/10.20998/2079-0023.2022.02.09.

S.P. Liventsev, and G.D. Sozonnik, “Method of adaptive control of the process of decoding turbo-like codes”, in Proc. 18th Int. Sci. and Tec. Conf. Telecommunications prospects, Kyiv, 2024, pp. 35-39. [Online]. Available: https://its.kpi.ua/sites/default/files/NDI%20TK%202021/Конференція%20ПТ/Збірники%20ПТ/Збірник%20матеріалів%20конференції%20ПТ%202024%20ISSN%20р.pdf. Accessed on: Jan. 10, 2025.

Y.M. Boyko, A.I. Semenko, and I.S. Pyatin, “Features of the formation of code redundancy in information transmission channels”, Infocom. and Comp. Tec., vol. 2, iss. 04, pp. 12-25, 2023, doi: https://doi.org/10.36994/2788-5518-2022-02-04-01.

I.R. Tsymbaliuk, “Methods and means of increasing the reliability of radio signal reception using neural networks”, PhD thesis, Lviv Polytechnic Nat. Univ., Lviv, 2024. [Online]. Available: https://lpnu.ua/sites/default/files/2024/radaphd/27733/disertaciya-cimbalyukrev1.pdf. Accessed on: Feb. 12, 2025.

O.I. Yevdochenko, “Features of multi-position Reed-Solomon codes”, in Proc.10th All-Ukr. Sci. and Prac. Conf. Electronic and Mechatronic Systems: Theory, Innovation, Practice, Poltava, pp. 106-107. [Online]. Available: https://nupp.edu.ua/uploads/files/0/events/conf/2024/x-emst/zbirnik-naukovikh-prac-X-vsekrainskoi-konferencii-ems_2.pdf. Accessed on: Jan. 10, 2025.

S.V. Ilyin, E.L. Kholod, and A.B. Maznichko, “Organisation of long-term access to authentic documents”, in Proc. 2d Int. Sci. Pract. Conf. Creation of new ideas of learning in modern conditions, Bordeaux, 2023, pp. 252-258. [Online]. Available: https://dspace.hnpu.edu.ua/server/api/core/bitstreams/a8627c6c-02af-400e-ab134ea4c073c4e3/content. Accessed on: Jan. 10, 2025.

Published

2025-05-20

How to Cite

Ivanchenko, S., & Yaroshchuk, V. (2025). Impact of redundancy on the security of technical information leakage channels and approximate correction of the channel error probability. Collection "Information Technology and Security", 13(1), 134–144. https://doi.org/10.20535/2411-1031.2025.13.1.328982

Issue

Section

CYBERSECURITY AND CRITICAL INFRASTRUCTURE PROTECTION