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I.A. Lozhkin,M.E. Dunaev,K.S. Zaytsev,A.A. Garmash
Pág. 109 - 117
The purpose of this work is to study the effectiveness of augmentation methods of image sets when they are insufficient in training sample of neural networks for solving semantic segmentation problems. For this purpose, the main groups of augmentation me...
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S. V. Hayrapetyan,K.S. Zaytsev
Pág. 30 - 38
The purpose of this paper is to describe the developed method of detecting network covert timing channels, based on machine learning algorithms. Detection of network covert channels is an actual problem, since the latter can be used to leak confidential ...
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D.A. Safronov,Y.D. Kazer,K.S. Zaytsev
Pág. 39 - 45
The purpose of this work is to reduce the cost of troubleshooting digital equipment by improving anomaly recognition methods based on the use of autoencoders. To do this, the authors propose to use two types of autoencoders: a deep feed-forward autoencod...
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P.A Golovnyak,K.S. Zaytsev,A.M. Pinchuk
Pág. 94 - 101
Today there is a significant increase in the number of payments made using plastic cards. Banking organizations are forced to analyze huge amounts of data in their work, and therefore software products for processing big data are being put into operation...
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R.A. Elchenkov,M.E. Dunaev,K.S. Zaytsev
Pág. 62 - 69
The purpose of this work is to study methods for predicting the values of time series when processing streaming data in distributed systems in real time. To do this, the authors propose a modification of the autoregressive model with a given AR order by ...
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D.E. Savitsky,M.E. Dunaev,K.S. Zaytsev
Pág. 70 - 76
The purpose of this work is to study methods for detecting anomalies in the processing of data streams in distributed streams in real time. To do this, the authors carried out a modification of the K-Means algorithm, called K-Means in real time, and carr...
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E. Diuldin,K.S. Zaytsev
Pág. 3 - 10
The purpose of this work is to study methods for detecting malicious domains generated using DGA algorithms. To solve this problem, proposed to create a deep learning architecture based on the Tensorflow framework, and implement layers based on the Keras...
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A.G. Klimenko,K.S. Zaytsev
Pág. 11 - 17
The development of smart objects involves solving a wide range of related tasks. One of these tasks is the development of the user interface. The purpose of this work is a consistent description of the process of developing the interface of a smart objec...
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N.A. Stroykova,A.E. Amshokov,K.S. Zaytsev
Pág. 75 - 83
Financial fraud is a serious problem and an increasing threat to the economy. It has serious consequences for the stability and sustainability of the economy. In this case financial institutions are forced to constantly improve their systems for detectin...
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A.G. Klimenko,K.S. Zaytsev
Pág. 141 - 148
Smart objects can be developed in different ways. The purpose of this work is to study the advantages and disadvantages of the main approaches to the development of smart objects. The features of such approaches as model-based; mashup-based approach; "fu...
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