Assessment of quality of network anomalies detection algorithm based on discrete wavelet transforms using the F-measure

Abstract

The paper considers the problem of quality assessment algorithms detect network anomalies The quality of the algorithms proposed to estimate the harmonic F-measure. Method of research quality of the algorithm proposed. Quantitative assessment of the completeness, accuracy, F-measure is provided. Experimental study of the quality of network anomalies detection algorithm based on discrete wavelet transform, showing the dependence of the quality of the algorithm on the size of the sliding window.