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Cybernetics And Systems Analysis
International Theoretical Science Journal
UDC 621.391
O. Iliashov1, V. Кomarov2, O. Yurchenko3, O. Deineha4


1 Central Scientific and Research Institute of the Armed Forces
of Ukraine, Kyiv, Ukraine

aleksandr.ilyashov@gmail.com

2 Central Scientific and Research Institute of the Armed Forces
of Ukraine, Kyiv, Ukraine

komarvlad@ukr.net

3 National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute,” Kyiv, Ukraine

olegyurchenko7@gmail.com

4 Central Scientific and Research Institute of the Armed Forces
of Ukraine, Kyiv, Ukraine

davdoma@gmail.com

AN APPROACH TO CONSTRUCTING A MATHEMATICAL MODEL OF THE SIGNATURE
TO DETERMINE THE MONITORING OBJECTS USING THE INFORMATIVITY OF ITS
MONITORING FEATURES

Abstract. The authors consider the use of informativity of monitoring attributes of a signature of objects of monitoring for specific conditions of solving applied recognition problems. The approach to construction of the mathematical model of a signature of definition of objects of monitoring by varying the difference between the probabilities of recognition of the objects of monitoring is proposed.

Keywords: monitoring sign, signature, information content of the monitoring sign.


FULL TEXT

REFERENCES

  1. Iliashov O.A. Methods of synthesis of algorithms for recognizing vulnerabilities of web-resources by signatures of values of fuzzy linguistic features. Kibernetika i sistemnyj analiz. 2017. Vol. 53, N 3. P. 85–92.

  2. Iliashov O.A. Assessment of the informativeness of monitoring features and signatures and the degree of their uncertainty in the recognition of sources and objects of monitoring in the information environment of telecommunications systems. Bulletin of NTUU "KPI". Series Radio Engineering, Radio Engineering. 2016. N 67. P. 77–83.

  3. Iliashov O.A., Komarov V.S. Improvement of the signature-system method with the use of priority features in the composition of signatures of monitoring objects to ensure the maximum probability of correct recognition. Kibernetika i sistemnyj analiz. 2020. Vol. 56, N 4. P. 68–78.

  4. Fainzilberg L.S. Mathematical methods for evaluating the usefulness of diagnostic features [in Russian]. Kiev: Osvita Ukrainy, 2010. 152 p.

  5. Kovalevsky V.A. Optimal decision methods in image recognition [in Russian]. Moscow: Nauka, 1976. 328 p.

  6. Vapnik V.N. Recovering dependencies based on empirical data [in Russian]. Moscow: Nauka, 1979. 448 p.
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