most citedDecrypting SSL/TLS traffic for hidden threats detection

44 citations · 237 across the 12 of their papers we have counts for

collaborators

13 papers

cs.NI201917 cited

Investigation of Multifractal Properties of Additive Data Stream

Igor Ivanisenko, Lyudmyla Kirichenko, Tamara Radivilova

The work presents results of a numerical study of fractal characteristics of multifractal stream at addition of stream, which does not have multifractal properties. They showed tha…

cs.NI201924 cited

Time series classification based on fractal properties

Vitalii Bulakh, Lyudmyla Kirichenko, Tamara Radivilova

The article considers classification task of fractal time series by the meta algorithms based on decision trees. Binomial multiplicative stochastic cascades are used as input time…

cs.NI201922 cited

The Methods to Improve Quality of Service by Accounting Secure Parameters

Tamara Radivilova, Lyudmyla Kirichenko, Dmytro Ageiev +1

A solution to the problem of ensuring quality of service, providing a greater number of services with higher efficiency taking into account network security is proposed. In this pa…

cs.LG201918 cited

Forecasting Weakly Correlated Time Series in Tasks of Electronic Commerce

Lyudmyla Kirichenko, Tamara Radivilova, Illya Zinkevich

Forecasting of weakly correlated time series of conversion rate by methods of exponential smoothing, neural network and decision tree on the example of conversion percent series fo…

cs.NI20195 cited

Calculation of distributed system imbalance in condition of multifractal load

Tamara Radivilova, Lyudmyla Kirichenko, Igor Ivanisenko

The method of calculating a distributed system imbalance based on the calculation of node system load was proposed in the work. Calculation of node system load is carried out by ca…

cs.CR201944 cited

Decrypting SSL/TLS traffic for hidden threats detection

Tamara Radivilova, Lyudmyla Kirichenko, Dmytro Ageyev +2

The paper presents an analysis of the main mechanisms of decryption of SSL/TLS traffic. Methods and technologies for detecting malicious activity in encrypted traffic that are used…