Neural network diagnosis of anomalous network activity in telecommunication systems

Katasev, Alexey Sergeevich; Kataseva, Dina Vladimirovna

doi:10.1109/dynamics.2016.7819020

Cited by 8 publications

(7 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The neural networks' use for classification problem solving consists of affiliation indicating of input image, represented by a feature vector, to one or more predefined classes [24,25]. This principle is base for its application to the bots identification in social networks.…”

Section: Methodsmentioning

confidence: 99%

Identification of Bots in Social Networks based on Data Mining Technologies

Ismagilov¹,

Sabirova²,

Kataseva³

et al. 2020

International Journal of Engineering Research and Technology

View full text Add to dashboard Cite

Section: Methodsmentioning

confidence: 99%

Identification of Bots in Social Networks based on Data Mining Technologies

Ismagilov¹,

Sabirova²,

Kataseva³

et al. 2020

International Journal of Engineering Research and Technology

View full text Add to dashboard Cite

“…There are two groups of methods: learning with a teacher (supervised) showed in Table 2, and uncontrolled learning (without a teacher) showed in Table 3 [30,35,36]. The essential difference between them is the fact that learning with a teacher uses a fixed sequence of assessment parameters and some data on the meaning of assessment parameters.…”

Section: Network Attack Detection Methodsmentioning

confidence: 99%

Intrusion detection system on the basis of data mining algorithms in the industrial network

Gurin¹,

Vulfin²,

Vasilyev³

et al. 2019

Proceedings of the v International Conference Information Technology and Nanotechnology 2019

View full text Add to dashboard Cite

The purpose of the work is to increase the security of the industrial network of an automated process control system based on intelligent network traffic analysis algorithms. The analysis of the problem of detecting and recording actions of violators on the implementation of a network attack on an automated process control system in the industrial network of an enterprise has been performed. A structural and functional model of the monitoring system of the industrial network of industrial control systems is proposed. An algorithm is developed for the intellectual analysis of network traffic of industrial protocols and a software package that implements the proposed algorithms as part of a monitoring system to evaluate the effectiveness of the proposed solution on field data. Data Science M A Gurin, A M Vulfin, V I Vasilyev and A V Nikonov V International Conference on "Information Technology and Nanotechnology" (ITNT-2019) 554 IPS/IDS WEB services DMZ ERP/MES level DB and data collection DMZ Department network Department network AD File Server HMI SCADA/ DCS

show abstract

“…Однако, несмотря на высокую достоверность и объективность данного метода, массовость его применения зачастую недостижима по причине нехватки ресурсов, как технических (дорогостоящих медицинских приборов), так и человеческих (квалифицированных медицинских работников -экспертов в области офтальмологии). Для решения указанных проблем, повышения эффективности предрейсового осмотра и расширения сферы применения метода пупиллометрии в решении задачи обеспечения транспортной безопасности возможно использование интеллектуальных методов анализа данных, например методов нейросетевого моделирования [Ахметвалеев, Катасёв, 2017;Katasev, Kataseva, 2016;Sug, 2010;Nazemi, Dehghan, 2015].…”

Section: рис 1 пример пупиллограммы и параметров зрачковой реакцииunclassified

“…Известно, что нейронные сети эффективны в задачах автоматизации, прогнозирования, принятия решений, при обработке и анализе медицинских тестов [Михайлов, Староверов, 2013[Михайлов, Староверов, , Emaletdinova et al, 2015Emaletdinova, Tsaregorodtseva, 2013;Katasev et al, 2016;Ge et al, 2017]. Основываясь на пупиллометрическом подходе, мы разработали нейросетевую модель определения функционального состояния опьянения человека по его зрачковой реакции на световое импульсное воздействие [Ахметвалеев, Катасёв, 2017].…”

Section: рис 1 пример пупиллограммы и параметров зрачковой реакцииunclassified

Neural network model of human intoxication functional state determining in some problems of transport safety solution

Akhmetvaleev¹,

Katasev²

2018

CRM

Self Cite

View full text Add to dashboard Cite

Ключевые слова: нейросетевая модель, пупиллометрия, зрачковая реакция, предрейсовый медицинский осмотр, функциональное состояние опьянения водителя, принятие решений Работа выполнена при финансовой поддержке Министерства образования и науки РФ в рамках государственного задания по проекту № 8.6141.2017/8.9.

show abstract

Neural network diagnosis of anomalous network activity in telecommunication systems

Cited by 8 publications

References 9 publications

Identification of Bots in Social Networks based on Data Mining Technologies

Identification of Bots in Social Networks based on Data Mining Technologies

Intrusion detection system on the basis of data mining algorithms in the industrial network

Neural network model of human intoxication functional state determining in some problems of transport safety solution

Contact Info

Product

Resources

About