FIELD: computing technology.
SUBSTANCE: method for detecting abnormalities in information and communication systems, wherein data is collected on the operation of the information and communication system; using a decorrelator, the input data vector is converted into statistically uncorrelated particular quality indicators; a "utility" function is introduced for each particular quality indicator, reflecting the dependence of the sign of change in the complex quality indicator of the evaluated system on the sign of change in the particular quality indicator; the significance of the particular quality indicators of the system is ranked depending on the statistical parameters thereof; the estimate of the complex quality indicator is calculated by the Krylov method; for bifurcation analysis, the result of extrapolation with the animat displaying the smallest extrapolation error at the previous modelling steps is applied; bifurcation analysis is conducted based on a sample of estimates of the complex quality indicator and the result of extrapolation; based on the results of bifurcation analysis, the "normality/abnormality" of the process of operation of the information and communication system is determined.
EFFECT: detection of anomalies in information and communication systems based on the parameters characterising the operation thereof.
1 cl, 1 dwg
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Authors
Dates
2022-01-21—Published
2020-12-01—Filed