Attack detection in IoT critical infrastructures: a machine learning and big data processing approach

I Kotenko, I Saenko, A Kushnerevich… - 2019 27th Euromicro …, 2019 - ieeexplore.ieee.org
The paper presents an approach to detection of attacks against Internet-of-Things networks
and devices which can be used in critical infrastructures. It is based on use of machine …

Applying machine learning and parallel data processing for attack detection in IoT

A Branitskiy, I Kotenko, I Saenko - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Internet of Things (IoT) networks are kind of computer networks for which the problem of
information security and, in particular, computer attack detection is acute. For solving this …

Detection of attacks on the Internet of Things based on intelligent analysis of devices functioning indicators

T Ovasapyan, D Moskvin, A Tsvetkov - 13th International Conference on …, 2020 - dl.acm.org
The work is devoted to the effectiveness study of applying intelligent data analysis to devices
functioning indicators in order to detect attacks on the Internet of Things networks. The …

Detection of distributed cyber attacks based on weighted ensembles of classifiers and big data processing architecture

I Kotenko, I Saenko, A Branitskiy - IEEE INFOCOM 2019-IEEE …, 2019 - ieeexplore.ieee.org
Distributed cyber attacks represent a special class of attacks on computer networks and
systems which is rather difficult to detect. In many respects it is explained by the complexity …

On Lightweight method for intrusions detection in the Internet of Things

V Shakhov, SU Jan, S Ahmed… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
Integration of the internet into the entities of the different domains of human society is
emerging as a new paradigm called the Internet of Things. At the same time, the ubiquitous …

Machine learning model of an intelligent decision support system in the information security sphere

FO Fedin, OV Trubienko… - 2020 International …, 2020 - ieeexplore.ieee.org
The article defines an approach to solving the task of network traffic analysis in higher
education establishments (HEE) with the aim of detecting information security threats (IST) to …

Detection of attacks on a computer network based on the use of neural networks complex

IV Zhukovyts' kyy, VM Pakhomova… - Science and Transport …, 2020 - stp.diit.edu.ua
Purpose. The article is aimed at the development of a methodology for detecting attacks on a
computer network. To achieve this goal the following tasks were solved: to develop a …

Traffic Monitoring and Abnormality Detection Methods for IoT

D Ageyev, T Radivilova, O Bondarenko… - 2021 IEEE 4th …, 2021 - ieeexplore.ieee.org
Monitoring network traffic is an important issues for the networks reliability and security. The
statistical model of traffic is at the heart of many methods for detecting traffic anomalies …

Prevention of false data injections in smart infrastructures

V Krundyshev, M Kalinin - 2019 IEEE International Black Sea …, 2019 - ieeexplore.ieee.org
Smart infrastructure is being developed on the basis of deep integration of cyberphysical
systems and telecommunication networks to form a customer-oriented cyberspace. It …

Intrusion detection system for Internet of Things based on a machine learning approach

C Liang, B Shanmugam, S Azam… - … on Vision Towards …, 2019 - ieeexplore.ieee.org
With the application of Internet of Things technology to every aspect of life, the potential
damage caused by Internet of things attacks is more serious than for traditional network …