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Applying Distributed Ledger Technology to Auditing and Incident Investigation in Big Data Processing Systems

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Abstract—

In this work, the problem of ensuring the auditing of granular transformations in heterogeneous big data processing systems is considered. Distributed ledger technology is proposed for tracking transformations of data fragments. Technological options for solving this problem are compared, and analytical and experimental estimates and recommendations on how to apply the results of the study are given. Unlike other similar works, the application of various types of distributed ledger technology is considered and the requirement for multiplatformity is included for the problem to be solved. The proposed solution is universal and can be used in heterogeneous multiplatform big data processing systems.

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ACKNOWLEDGMENTS

Project results are achieved using the resources of supercomputer center of Peter the Great St.Petersburg Polytechnic University—SCC Polytechnichesky (www.spbstu.ru).

Funding

The research is funded by the Ministry of Science and Higher Education of the Russian Federation under the strategic academic leadership program “Priority 2030” (agreement 075-15-2021-1333 dated November 30, 2021).

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Authors and Affiliations

  1. Peter the Great St. Petersburg Polytechnic University, 195251, St. Petersburg, Russia

    M. A. Poltavtseva & V. A. Torgov

Authors
  1. M. A. Poltavtseva
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  2. V. A. Torgov
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Corresponding author

Correspondence to M. A. Poltavtseva.

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The authors declare that they have no conflicts of interest.

Additional information

Translated by M. Talacheva

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Poltavtseva, M.A., Torgov, V.A. Applying Distributed Ledger Technology to Auditing and Incident Investigation in Big Data Processing Systems. Aut. Control Comp. Sci. 56, 874–882 (2022). https://doi.org/10.3103/S0146411622080193

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