Algorithm for clusterization, aggregation and prioritization of M2M devices in heterogeneous 4G/5G network

Klymash, Mykhailo; Beshley, Halyna; Seliuchenko, Marian; Beshley, Mykola

doi:10.1109/infocommst.2017.8246376

Cited by 30 publications

(10 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The advantage of this approach is that it does not require prior knowledge about the properties of anomalies and can therefore be effective with unknown anomalies and even with changes in existing known anomalies. One statistical method of detection is a method based on fractal analysis [29][30][31][32].…”

Section: Background On Network Anomaly Detection Methodsmentioning

confidence: 99%

A Software Deep Packet Inspection System for Network Traffic Analysis and Anomaly Detection

Song

Beshley

Przystupa

et al. 2020

Sensors

Self Cite

View full text Add to dashboard Cite

In this paper, to solve the problem of detecting network anomalies, a method of forming a set of informative features formalizing the normal and anomalous behavior of the system on the basis of evaluating the Hurst (H) parameter of the network traffic has been proposed. Criteria to detect and prevent various types of network anomalies using the Three Sigma Rule and Hurst parameter have been defined. A rescaled range (RS) method to evaluate the Hurst parameter has been chosen. The practical value of the proposed method is conditioned by a set of the following factors: low time spent on calculations, short time required for monitoring, the possibility of self-training, as well as the possibility of observing a wide range of traffic types. For new DPI (Deep Packet Inspection) system implementation, algorithms for analyzing and captured traffic with protocol detection and determining statistical load parameters have been developed. In addition, algorithms that are responsible for flow regulation to ensure the QoS (Quality of Services) based on the conducted static analysis of flows and the proposed method of detection of anomalies using the parameter Hurst have been developed. We compared the proposed software DPI system with the existing SolarWinds Deep Packet Inspection for the possibility of network traffic anomaly detection and prevention. The created software components of the proposed DPI system increase the efficiency of using standard intrusion detection and prevention systems by identifying and taking into account new non-standard factors and dependencies. The use of the developed system in the IoT communication infrastructure will increase the level of information security and significantly reduce the risks of its loss.

show abstract

Section: Background On Network Anomaly Detection Methodsmentioning

confidence: 99%

A Software Deep Packet Inspection System for Network Traffic Analysis and Anomaly Detection

Song

Beshley

Przystupa

et al. 2020

Sensors

Self Cite

View full text Add to dashboard Cite

show abstract

“…The advantage of the developed traffic generator is that, unlike the known ones, it allows you to control the generated flow without the need for synchronize the input and output interfaces and to determine the packets delay of flow. It allows you to evaluate the parameters of service of hardware and software telecommunications facilities of any purpose [53][54][55][56][57][58][59].…”

Section: Performance Analysis Of the Software-based Router Using The mentioning

confidence: 99%

A Cost-Efficient Software Based Router and Traffic Generator for Simulation and Testing of IP Network

Przystupa

Beshley

et al. 2019

Electronics

Self Cite

View full text Add to dashboard Cite

The development was carried out using the Qt5.2 integrated development environment, which uses the programming language C++. The main advantage of this environment is that the code written in it can be compiled to different platforms (for example, Windows, Linux, Mac OS). A software router based on a modular architecture has been developed. It uses the socket technology, which allows forming a program-oriented packet network with any topology, including full-coupled topology. A network traffic generator to test the developed software router has been designed. We proposed a scheme to measure the packet processing time of a router using a specialized packet-capture network interface cards (NIC 1 and NIC 2) and a novel traffic generator installed on PC. Based on an experimental test bed we confirmed that our software router provides a cost-efficient alternative to the expensive, special hardware router CISCO 2801.

show abstract

“…Мережі 5G повинні мати велику ємність, низьку затримку, велику швидкість передавання даних для кожного абонента. Здійснювати локальні вдосконалення мережі є не достатніми, потрібен комплексно новий підхід до проектування мережі, але при цьому нова концепція має будуватися на основі старої [5][6][7].…”

Section: вступ і постановка задачіunclassified

Adaptive Formation of a Multilevel Radiostructure of Integrated Lte / Wi-Fi Networks

Kahalo¹,

Beshley²,

Климаш³

et al. 2019

TIT

View full text Add to dashboard Cite

Запропоновано інтегровану LTE/Wi-Fі мережу мобільного оператора. Розроблено метод адаптивного формування структури інтегрованої мережі LTE/Wi-Fi радіодоступу з уникненням міжрівневої інтерференції. Використання такого підходу до розбиття структури рівня пікокомірок, дозволяє максимально ефективно розмежувати зони дії кожної базової станції та забезпечити абонентів на межі розподілу комірок послугами з низьким рівнем інтерференційних завад. Використовуючи засоби імітаційного моделювання, розроблено модель інтегрованої мережі, яка в залежності від розподілу користувацького навантаження та просторової локалізації базових станцій LTE і Wi-Fi точок формує структуру мережі радіодоступу. Ключові слова: інтегрована мережа, локалізація абонентського навантаження, LТЕ-U, пікокомірка, пропускна здатність мережі, якість сервісу.

show abstract

Algorithm for clusterization, aggregation and prioritization of M2M devices in heterogeneous 4G/5G network

Cited by 30 publications

References 33 publications

A Software Deep Packet Inspection System for Network Traffic Analysis and Anomaly Detection

A Software Deep Packet Inspection System for Network Traffic Analysis and Anomaly Detection

A Cost-Efficient Software Based Router and Traffic Generator for Simulation and Testing of IP Network

Adaptive Formation of a Multilevel Radiostructure of Integrated Lte / Wi-Fi Networks

Contact Info

Product

Resources

About