Abstract
One of the approaches to the detection of network anomalies is the analyses of parameters 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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
