|Article title||PRELIMINARY PROCESSING OF TIME SERIES OF PARAMETERS WHEN DETECTING ANOMALIES IN THE WORK OF INFORMATION SYSTEMS USING PLASTIC CARDS|
|Section||SECTION II. APPLIED INFORMATION SECURITY|
|Month, Year||05, 2017 @en|
|Abstract||This article describes the way in which time series of parameters of information systems are processed when detecting anomalies in the work of wavelet analysis methods. This task is relevant in connection with the need to develop and implement adaptive methods for analyzing the security of information systems in real time for the timely prevention of various threats. The proposed method for processing time series is intended for application in complex approaches to analyzing the security of information systems using plastic cards for pre-processing for the purpose of noise reduction, highlighting the peculiarities and characteristic features of data sequences, and im-proving the efficiency of methods for recognizing behavior anomalies which work with the results of the proposed algorithm. In contrast to the existing approaches, herein used is the approach that involves a multiscale representation of time series and allows one to distinguish its specific char-acteristics inherent in different levels of signal representation. Further processing is performed based on the wavelet maxima of the signal decomposition, which exist in a number of scales of the representation and reveal regular features appearing at most levels of the multiscale analysis. Also, in this paper, we propose a method for the optimal calculation of the threshold for processing wavelet coefficients in the stage of noise reduction based on the statistical analysis of time series and determining the balance between the level of useful signal and the noise level, and these calculations are performed directly in the basis of the wavelet coefficients. Moreover, in the algorithmic and computational plan, the proposed method is more advantageous, since it relies on a limited set of computational operations associated with a hierarchy of quadrature-mirror filters having a regular computational structure, that is, independent of the signal size and the level of its decomposition in the basis of wavelet coefficients. The proposed algorithms are well implemented both at the software and hardware level due to natural parallelism and are symmetric in the computational plan due to the same complexity of all branches of the algorithm.|
|Keywords||Anomaly of behavior; analysis; plastic card; information system; time series; weilvt analysis.|
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