Open AccessMethod for detection of network traffic anomalies which is based on its self-similar traffic structure
Author(s) -
Elena Karachanskaya,
Nadezhda Iv. Osedova
Publication year - 2019
Publication title -
bezopasnost informacionnyh tehnology
Language(s) - English
Resource type - Journals
eISSN - 2074-7136
pISSN - 2074-7128
DOI - 10.26583/bit.2019.1.10
Subject(s) - hurst exponent , anomaly detection , self similarity , computer science , data mining , fractal , anomaly (physics) , fractional brownian motion , process (computing) , algorithm , mathematics , brownian motion , statistics , physics , mathematical analysis , geometry , condensed matter physics , operating system
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