Журнал «Радиотехника» | Издательство РАДИОТЕХНИКА

Thi Trang Linh Le - Post-graduate Student, Department IIST FREC, Moscow Institute of Physics and Technology (State University). E-mail: tranglinh2011@gmail.com

Development of model for detection of computer attacks based on the neural network

A.S. Shaburov - Ph.D. (Eng.), Associate Professor, Department of Automation and Telemechanics, Perm National Research Polytechnic University. E-mail: shans@at.pstu.ru

Neural network system for detecting and neutralizing remote unauthorized interference into the components of the Internet of Things

A. I. Vlasov¹, E. R. Zakharov², V. O. Zakharova³

1–3 Department IU4 of Designing and Technology of Electronic Equipment, Bauman Moscow State Technical University (Moscow, Russia)

Detecting internet attacks using a neural network

V.A. Zabelina, G.A. Savchenko, I.M. Chernenky, E.Yu. Silantieva

Bauman Moscow State Technical University (Moscow, Russia)

Model of special purpose transport communication network functioning process in the context of the implementation of computer attacks on the level of telecommunication services protection

А.К. Kanaev – Dr.Sc. (Eng.), Professor,

Military Communication Academy named after Marshal of the Soviet Union S.M. Budenny of the Ministry of Defense of the Russian Federation (St. Petersburg)

E-mail: kanaevak@mail.ru

А.N. Ivanin – Adjunct,

Military Communication Academy named after Marshal of the Soviet Union S.M. Budenny of the Ministry of Defense of the Russian Federation (St. Petersburg)

E-mail: andreiivanin@gmail.com

М.А. Kolbasov – Officer,

Main Communications Department of the Russian Federation Armed Forces (Moscow)

Network anomaly detection and classification using a combination of two artificial neural networks

O. I. Shelukhin – Dr.Sc. (Eng.), Professor, Head of Department of Information Security, Moscow Technical University of Communication and Informatics

E-mail: sheluhin@mail.ru

V. O. Musatov – Master’s Degree Student, Department of Information Security, Moscow Technical University of Communication and Informatics

E-mail: vladimirus@protonmail.com

Application of multivariate cumulative sum control charts for detecting cyber attacks

S.D. Erokhin1, B.B. Borisenko2, A.S. Fadeev3, D.A. Kryukov4

1–3 MTUCI (Moscow, Russia)
4 MIREA-RTU (Moscow, Russia)
1 esd@mtuci.ru, 2 fepem@yandex.ru, 3 aleksandr-sml@mail.ru, 4 dm.bk@bk.ru

Detection of zero-day cyber attacks and zero-day malware using machine learning methods

O.I. Sheluhin1, S.Yu. Rybakov2, S.S. Zvezhinsky3

1-3 FSBEI HE “Moscow Technical University of Communications and Informatics (MTUCI)” (Moscow, Russia)

1 sheluhin@mail.ru; 2 svolkov97@gmail.com; 3 s.s.zvezhinskii@mtuci.ru

Analysis of the integration capabilities of network attack protection tools for data-intensive systems

V.I. Korolev1, A.D. Abkhazi2

1 Federal Research Center «Computer Science» of the Russian Academy Sciences (Moscow, Russia)
1 Gubkin Russian State University of Oil and Gas (Moscow, Russia)
2 Federal State Budgetary Educational Institution of Higher Education «Moscow State Linguistic University»
(Moscow, Russia)
1 vkorolev@ipiran.ru, 2 artem.abkhazi@gmail.com