Mobility management and vertical handover decision in an always best connected heterogeneous network

Demydov, Ivan; Seliuchenko, Marian; Beshley, Mykola; Brych, Mykola

doi:10.1109/cadsm.2015.7230808

Cited by 28 publications

(10 citation statements)

References 2 publications

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“…However, building an all-IP (Internet Protocol) infrastructure from scratch will be difficult, as many different sensor and actuator technologies (both wired and wireless) have been deployed over the years [74]. The IoT sensor data are generated from various heterogeneous devices, communication protocols, and data formats that are enormous in nature [75]. This requires the development of effective tools for protocol monitoring and traffic analysis.…”

Section: Algorithms For Network Traffic Capturing Analyzing and Detmentioning

confidence: 99%

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

Song

Beshley

Przystupa

et al. 2020

Sensors

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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.

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Section: Algorithms For Network Traffic Capturing Analyzing and Detmentioning

confidence: 99%

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

Song

Beshley

Przystupa

et al. 2020

Sensors

Self Cite

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“…Мобільна інфраструктура включає в себе ієрархічну структуру комірок різного розміру, включаючи макрокомірки для забезпечення безшовного покриття, а також комірки різного розміру (пікосоти, фемтосоти, точки доступу Wi-Fi, суміщені LTE/Wi-Fi модулі та ін.) [16]. Управління рівнем радіодоступу буде здійснюватися з допомогою програмно-керованого ядра SDN [17][18]…”

Section: концепція інтегрованої Lte/wi-fi мобільної мережі наступногоunclassified

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

Kahalo¹,

Beshley²,

Климаш³

et al. 2019

TIT

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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.

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“…However, it is considered that the management of the interference generated between different types of nodes becomes a challenge, and in this scenario, a controller based on the fuzzy logic that modifies the handover margins dynamically supports the whole concept of robust mobility optimization. Also in (Demydov et al, 2015), the use of fuzzy systems for handover algorithms is used, specifically to support Vertical Handover in HetNet networks. In this scenario, fuzzy systems are used to determine the decision criterion regarding the performance of the handover (change of the server node for one user to another, given its mobility).…”

Section: Fuzzy Systems In 5g Network and Sdn Architecturesmentioning

confidence: 99%

“…This paper will explain specific definitions of fuzzy systems and their applications in telecommunications, which will allow to address the application of these techniques in new technologies, as shown in (Bhandari & Singh, 2016;Demydov, Seliuchenko, Beshley, & Brych, 2015;Dotcenko, Vladyko, & Letenko, 2014;Dubois & Prade, 1997;Xu et al, 2008). In the initial stage of the article, the basic theory of fuzzy systems will be exposed, followed by the advances in the 5G networks including the definition of the SDN paradigm.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Systems: An Approach to 5G Networks Under the SDN Paradigm/ Sistemas Difusos: Una Aproximación a las redes 5G bajo el Paradigma SDN

Sanchez

Puerto

2018

Rev. Cient.

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The exploitation that has had the fuzzy systems related to advances of 5G networks (Fifth Generation Mobile Networks) and how this development has been framed by the paradigm of SDN (Software Defined Networks) architectures are reviewed in this article. The first part reviewed terms required for understanding the technologies and their evolution; on which different scenarios are evaluated because they have contributed to the development of the definition of 5G networks. Following this, the research and development of the fuzzy systems applied to telecommunications, specifically 5G technology and SDN architectures were described. Finally, the respective conclusions of the fuzzy systems in the 5G networks and SDN architectures have been exposed.

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Mobility management and vertical handover decision in an always best connected heterogeneous network

Cited by 28 publications

References 2 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

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

Fuzzy Systems: An Approach to 5G Networks Under the SDN Paradigm/ Sistemas Difusos: Una Aproximación a las redes 5G bajo el Paradigma SDN

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