Binary classification of fractal time series by machine learning methods
The paper considers the binary classification of time series based on their fractal properties
by machine learning. This approach is applied to the realizations of normal and attacked …
by machine learning. This approach is applied to the realizations of normal and attacked …
[HTML][HTML] Machine learning in classification time series with fractal properties
The article presents a novel method of fractal time series classification by meta-algorithms
based on decision trees. The classification objects are fractal time series. For modeling …
based on decision trees. The classification objects are fractal time series. For modeling …
Time series classification based on fractal properties
V Bulakh, L Kirichenko… - 2018 IEEE Second …, 2018 - ieeexplore.ieee.org
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 series …
on decision trees. Binomial multiplicative stochastic cascades are used as input time series …
Intrusion detection based on machine learning using fractal properties of traffic realizations
In this paper, we consider the problem of intrusion detection in computer networks by the
realizations of network traffic. To solve this problem, time series analysis methods, fractal …
realizations of network traffic. To solve this problem, time series analysis methods, fractal …
Two approaches to machine learning classification of time series based on recurrence plots
The article considers the task of classifying fractal time series based on the construction of
their recurrence plots. Short realizations of EEG signals were used as input data. Two …
their recurrence plots. Short realizations of EEG signals were used as input data. Two …
Classification methods of machine learning to detect DDoS attacks
In this paper the problem of intrusion detection by classification of the network traffic
realizations was considered. The Machine Learning methods using fractal and recurrence …
realizations was considered. The Machine Learning methods using fractal and recurrence …
Classification of fractal time series using recurrence plots
L Kirichenko, T Radivilova… - … Conference Problems of …, 2018 - ieeexplore.ieee.org
The article considers classification task of fractal time series by the random forest method. It
is proposed to classify time series as features to use the quantitative characteristics of …
is proposed to classify time series as features to use the quantitative characteristics of …
[PDF][PDF] Classification of multifractal time series by decision tree methods
The article considers classification task of model fractal time series by the methods of
machine learning. To classify the series, it is proposed to use the meta algorithms based on …
machine learning. To classify the series, it is proposed to use the meta algorithms based on …
Ensuring the survivability of embedded computer networks based on early detection of cyber attacks by integrating fractal analysis and statistical methods
I Kotenko, I Saenko, O Lauta, A Kribel - Microprocessors and Microsystems, 2022 - Elsevier
The paper discusses a method for ensuring the survivability of embedded computer
networks in conditions of cyber attacks, based on identifying anomalies in network traffic by …
networks in conditions of cyber attacks, based on identifying anomalies in network traffic by …
[HTML][HTML] An innovative approach to anomaly detection in communication networks using multifractal analysis
Fractal and multifractal analysis can help to discover the structure of the communication
system, and in particular the pattern and characteristics of traffic, in order to understand the …
system, and in particular the pattern and characteristics of traffic, in order to understand the …