Evaluation Criteria Systems for Data Integrity in Multi-source Information Environments
DOI:
https://doi.org/10.18372/1990-5548.89.21477Keywords:
data integrity, data consistency, completeness of information, composite indicator, mathematical model, information systems, information completenessAbstract
It is proposed a system of criteria for assessing data integrity, based on the formalised description of inter-source consistency, information completeness, and temporal relevance of data. A mathematical model of an integral integrity indicator has been developed, allowing quantitative assessment of the data state in distributed information environments while considering weighting coefficients of sources and attributes. The obtained results confirmed the adequacy of the proposed approach, its sensitivity to conflicting and incomplete data, as well as its suitability for automated monitoring, identification of problematic records, and decision support in data management systems. The simulation results showed that the integral data integrity indicator varied approximately from 0.30 to 0.90 depending on the level of inter-source discrepancies, missing data, and temporal inconsistency.
References
[1] S. Kashkevych, N. Marchenko, and Y. Dehtiar, “Method for Predicting the Communication Channel Capacity of Unmanned Aerial Vehicles Based on Telemetry Data,” Cybernetics and Computer Technologies, pp. 120–127, 2026. https://doi.org/10.34229/2707-451X.26.1.10
[2] G. R. Annapureddy, “The Impact of Blockchain on Data Integrity and Security in Distributed Systems,” The Eastasouth Journal of Information System and Computer Science, vol. 2, no. 2, 2024. https://doi.org/10.58812/esiscs.v2i02.486
[3] S. O. Gnatyuk and Y. A. Burmak, “Method for developing pseudo-random number generators for cryptographic applications in 5G networks,” Scientific journal article, (ISSN 2663-4023, 2021). https://doi.org/10.28925/2663-4023.2021.12.151162
[4] P. Goswami et al., “Investigation on Storage Level Data Integrity Strategies in Cloud Computing,” Journal of Cloud Computing, 2024.
[5] B. A. Jalil et al., “A Survey on Data Integrity,” Verification Schemes in the Cloud. AIP Conference Proceedings, 2023. https://doi.org/10.1063/5.0103392
[6] S. Kashkevich (Ed.), “Decision support systems: mathematical support,” Kharkiv: TECHNOLOGY CENTER PC, 2025, 202 p. https://doi.org/10.15587/978-617-8360-13-9.
[7] D. O. Persunov and O. P. Nechyporuk, “Ensuring data integrity in distributed information environments,” Information Technologies: Theory and Practice: Proceedings of the III (IX) International Internet Conference of Higher Education Students and Young Scientists, 25–27 March 2026, pp. 583–585.
[8] T. Okhrimenko, S. Dorozhynskyi, and B. Horbakha, “Analysis of quantum secure direct communication protocols,” CSIT Journal, vol. 5, no.1, 2023. https://doi.org/10.31891/csit-2023-1-8
[9] O. Poliarus, S. Krepych, and I. Spivak, “Hybrid approach for data filtering and machine learning inside content management system,” Advanced Information Systems, vol. 7(4), pp. 70–74, 2023. https://doi.org/10.20998/2522-9052.2023.4.
[10] C. Shi, A. Manschula, T. Mahmud et al., Revisiting Computational Storage for Data Integrity and Security, 2025.
[11] O. Tachinina, O. Lysenko, S. Ponomarenko, S. Chumachenko, and V. Kutiepov, “Engineering Methodology for the Synthesis of Control Algorithms for Digital Electric Drives of Mechatronic Devices of Flying Search Robots,” Lecture Notes in Networks and Systems, vol. 996, pp. 427–439, 2024. https://doi.org/10.1007/978-3-031-60549-9_32
[12] K. A. Tamer, O. Sova, O. Shaposhnikova, V. Yashchenok, I. Stanovska, S. Shostak, o O. Rudenk, S. Petruk, O. Matsyi, and S. Kashkevich, “Development of a solution search method using a combined bio-inspired algorithm,” Eastern European Journal of Enterprise Technologies, vol. 1, no. 4(127), pp. 6–13, 2024. https://doi.org/10.15587/1729-4061.2024.298205.
[13] O. Nechyporuk, & S. Podelskyi, “Information System Functioning Based on Multidimensional Time Series,” Electronics and Control Systems, 2(88), pp. 61–68, 2026. https://doi.org/10.18372/1990-5548.88.20967
[14] A. E. Qoussini, Y. I. Daradkeh, S. M. Al Tabib, S. Gnatyuk, T. Okhrimenko and V. Kinzeryavyy, "Improved Model of Quantum Deterministic Protocol Implementation in Channel with Noise," 2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems:Technology and Applications (IDAACS), Metz, France, 2019, pp. 572–578, https://doi.org/10.1109/IDAACS.2019.8924287
[15] O. Turovsky, Y. Khlaponin, M. Mohamed, T. Okhrimenko, I. Goncharenko, & M. Iavich, “Combined System of Phase Synchronization with Increased Astatism order in Frequency Monitoring Mode,” International Workshop on Control, Optimisation and Analytical Processing of Social Networks, 2020.
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