Visible to the public Identification of Potential Risks to System Security Using Wavelet Analysis, the Time-and-Frequency Distribution Indicator of the Time Series and the Correlation Analysis of Wavelet-Spectra

TitleIdentification of Potential Risks to System Security Using Wavelet Analysis, the Time-and-Frequency Distribution Indicator of the Time Series and the Correlation Analysis of Wavelet-Spectra
Publication TypeConference Paper
Year of Publication2018
AuthorsAmosov, O. S., Amosova, S. G., Muller, N. V.
Conference Name2018 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon)
ISBN Number978-1-5386-9535-7
KeywordsAccidents, Correlation, Correlation analysis, correlation methods, Injuries, Metrics, potential risk, potential risks, potential system security threat prediction identification, pubcrawl, resilience, Resiliency, Scalability, security, system security, Time Frequency Analysis, time series, Time series analysis, time-and-frequency distribution, time-and-frequency localization, wavelet analysis, wavelet spectra correlation analysis, wavelet transforms
Abstract

To identify potential risks to the system security presented by time series it is offered to use wavelet analysis, the indicator of time-and-frequency distribution, the correlation analysis of wavelet-spectra for receiving rather complete range of data about the process studied. The indicator of time-and-frequency localization of time series was proposed allowing to estimate the speed of non-stationary changing. The complex approach is proposed to use the wavelet analysis, the time-and-frequency distribution of time series and the wavelet spectra correlation analysis; this approach contributes to obtaining complete information on the studied phenomenon both in numerical terms, and in the form of visualization for identifying and predicting potential system security threats.

URLhttps://ieeexplore.ieee.org/document/8602675
DOI10.1109/FarEastCon.2018.8602675
Citation Keyamosov_identification_2018