Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Pavel A. Savenkov"'
Autor:
Vladimir P. Savchuk, Pavel A. Savenkov
Publikováno v:
Журнал Белорусского государственного университета: Математика, информатика, Iss 2, Pp 62-66 (2019)
This article illustrates the solution of a differential equation describing oscillations of an elastic tensioned guide rail, which consist of string bundle enclosed in an elastic cylindrical shell, while concentrated load, simulated by a material poi
Externí odkaz:
https://doaj.org/article/d653bf225403415895ff3ba9648b3ee3
Autor:
Pavel A. Savenkov, Alexey Ivutin
Publikováno v:
MECO
The aim of the study is to review and apply machine learning methods and algorithms to detect abnormal user behavior based on text analysis. This article provides an overview of the methods, algorithms and approaches used in the software application
Autor:
Alexey Ivutin, Pavel A. Savenkov
Publikováno v:
MECO
This article discusses the development of mathematical support and software for detecting anomalous behavior of users based on biometric characteristics of their behavior analysis. One of the challenges in intelligent UBA (User Behavior Analytics) sy
Autor:
Alexey Ivutin, Pavel A. Savenkov
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030539559
ICSI
ICSI
The aim of the research is to develop mathematical and program support for detecting abnormal behavior of users. It will be based on analysis of their behavioral biometric characteristics. One of the major problems in UEBA/DSS intelligent systems is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::36831807b542de16c2988e99716de9e7
https://doi.org/10.1007/978-3-030-53956-6_45
https://doi.org/10.1007/978-3-030-53956-6_45
Autor:
Pavel A. Savenkov, Alexey Ivutin
Publikováno v:
MECO
The review of methods of data analysis and also methods of machine learning is carried out in this article. Application of machine learning and the analysis in implementation of decision making support system methods is offered. It allows to achieve
Publikováno v:
MECO
This article considers the method of analysis of user's behavioral biometrie characteristics for additional authentication. The usage of neural networks allows to increase algorithm speed. This method involves neural network that inputs certain facto