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JOURNALS // Informatics and Automation // Archive

Tr. SPIIRAN, 2013 Issue 27, Pages 181–189 (Mi trspy610)

Analysis and optimization of wavelet decomposition algorithms for use in real-time anomaly detection systems.

M. B. Bud'ko, M. Yu. Budko

National Research University of Information Technologies, Mechanics and Optics

Abstract: One of the approaches to the detection of network anomalies is the analyses of pa-rameters of functioning of a network. Characteristics, calculated on a wavelet coefficients, indeed, are more sensitive to changes in the number, than the characteristics calculated directly in a row, but this requires more calculations, the spectral-time algorithms, of course, subject to optimize for application in real-time systems. In addition, there are different approaches to the implementation of wavelet expansions, each of which has its place on the informative value (the number of qualifying ratios), the authentic values, the computational complexity of the transformations. The article offers a reasonable approach to the implementation of these algorithms for use in real-time anomaly detection systems

Keywords: wavelet, spectral-temporal analysis, intrusion detection systems, real-time systems, telecommunications data, time series analysis, signal processing.

UDC: 004.93'12

Received: 27.03.2013



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