Anomaly identification model in the observation field using parametric monitoring systems

by

A.V. Skatkov1, Y.E. Shishkin1,2

1 Federal State Educational Institution of Higher Education «Sevastopol State University», Russian Federation, Sevastopol, Universitetskaya St., 33

2 Institute of Natural and Technical Systems, Russian Federation, Sevastopol, Lenin St., 28

E-mail: yourockpro@gmail.com

DOI: 10.33075/2220-5861-2017-4-48-53

UDC 004.942:004.75

Abstract:

   The problem of detecting anomalies in monitoring data of aquatic environment physicochemical parameters using simulation model of autonomous STD probes system is discussed. An approach is proposed to solve the problem of monitoring object transition operative forecasting to an emergency condition by using a parametric monitoring system implemented as a measuring tools complex and a software simulation model using the Kulbak-Leibler divergence information metric. The solution of the sample size influence on the probability of a classification error problem is given. The results of experiments on the simulation model of a monitoring system for physicochemical parameters of the Black Sea region water environment are discussed.

Keywords: monitoring, simulation, queuing system, Big Data, heteroscedasticity effect, network traffic, critical systems, data mining.

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