Virtualized Network Function Orchestration System and Experimental Network Based QR Recognition for a 5G Mobile Access Network

Ahn, Misun; Lee, SeungGwan; Lee, Sungwon

doi:10.3390/sym9120300

Cited by 2 publications

(2 citation statements)

References 9 publications

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“…Still, there aren't many Telco NFV solutions now using Kubernetes. [27] Technique: In addition to being able to establish adaptable network architecture and deployment, this system should enable connectivity between network devices. This system gives access networks more of an emphasis.…”

Section: Towards the Development Of Realistic Botnet Dataset In The I...mentioning

confidence: 99%

Enhancing Security for NFV-Based IOT Networks through Machine Learning: A Comprehensive Review and Analysis

Gite,

Kasar

2024

eatp

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The past several years have seen a notable surge in the adoption of Internet of Things devices, leading to the development of NFV-based IoT networks. However, security remains a significant concern in these networks, as they are vulnerable to various attacks. Machine learning is a promising solution for enhancing security in NFV-based IoT networks. This paper presents a comprehensive review and analysis of the latest research on security enhancement for NFV-based IoT networks using machine learning. The paper aims to identify the current state-ofthe-art techniques used to enhance security in these networks and highlight the potential benefits of machine learning in this context. The integration of machine learning in NFV-based IoT networks can significantly enhance security against emerging threats. The absence of standards, affordable and efficient machine learning systems is only a few of the issues that must be resolved. One critical aspect is the development of effective machine learning systems capable of identifying malicious traffic and handling the vast attack surface and different attack vectors. In order to achieve this, the study examines how SDN and NFV are being adopted to protect IoT networks from new risks. This area of research holds great potential for improving the accuracy and efficiency of anomaly detection in NFV networks, keeping pace with rapidly evolving threats. In this regard, the paper provides a survey of machine learning-based algorithms for intrusion detection in NFV networks for enhancing security.

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Section: Towards the Development Of Realistic Botnet Dataset In The I...mentioning

confidence: 99%

Enhancing Security for NFV-Based IOT Networks through Machine Learning: A Comprehensive Review and Analysis

Gite,

Kasar

2024

eatp

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“…The constructed virtual EPC function is connected to an actual commercial LTE station. IP.Access's LTE 245F small cell is used as LTE station [26,27,38,39], and Nexus 5 is used as terminal. The Band 7 supported from the Nexus 5 terminal in the test bed is allocated and used.…”

Section: Test Bed In Large Scalementioning

confidence: 99%

Server Operation and Virtualization to Save Energy and Cost in Future Sustainable Computing

Huh

2018

Sustainability

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Since the introduction of the LTE (Long Term Evolution) service, we have lived in a time of expanding amounts of data. The amount of data produced has increased every year with the increase of smart phone distribution in particular. Telecommunication service providers have to struggle to secure sufficient network capacity in order to maintain quick access to necessary data by consumers. Nonetheless, maintaining the maximum capacity and bandwidth at all times requires considerable cost and excessive equipment. Therefore, to solve such a problem, telecommunication service providers need to maintain an appropriate level of network capacity and to provide sustainable service to customers through a quick network development in case of shortage. So far, telecommunication service providers have bought and used the network equipment directly produced by network equipment manufacturers such as Ericsson, Nokia, Cisco, and Samsung. Since the equipment is specialized for networking, which satisfied consumers with their excellent performances, they are very costly because they are developed with advanced technologies. Moreover, it takes much time due to the purchase process wherein the telecommunication service providers place an order and the manufacturer produces and delivers. Accordingly, there are cases that require signaling and two-way data traffic as well as capacity because of the diversity of IoT devices. For these purposes, the need for NFV (Network Function Virtualization) is raised. Equipment virtualization is performed so that it is operated on an x86-based compatible server instead of working on the network equipment manufacturer's dedicated hardware. By operating in some compatible servers, it can reduce the wastage of hardware and cope with the change thanks to quick hardware development. This study proposed an efficient system of reducing cost in network server operation using such NFV technology and found that the cost was reduced by 24% compared to existing network equipment. The technique proposed in this study is expected to be a foundation technology for future sustainability computing.

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Virtualized Network Function Orchestration System and Experimental Network Based QR Recognition for a 5G Mobile Access Network

Cited by 2 publications

References 9 publications

Enhancing Security for NFV-Based IOT Networks through Machine Learning: A Comprehensive Review and Analysis

Enhancing Security for NFV-Based IOT Networks through Machine Learning: A Comprehensive Review and Analysis

Server Operation and Virtualization to Save Energy and Cost in Future Sustainable Computing

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