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Fuzzy Systems: An Approach to 5G Networks Under the SDN Paradigm
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 ...
Luis Felipe Albarracin Sanchez +1 more
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Software-Defined Networking (SDN) for Efficient Network Management
Purpose: The general objective of this study was to examine Software-Defined Networking (SDN) for efficient network management. Methodology: The study adopted a desktop research methodology. Desk research refers to secondary data or that which can be collected without fieldwork.
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Software defined networking (SDN) is an emerging networking paradigm which gained a lot of interests from both academia and industry. SDN decomposes the control plane from the data plane and allows for the network logic to run on a software-based ...
Hassan Yeganeh, Elaheh Vaezpour
doaj
Συγκριτική μελέτη ελεγκτών Software Defined Networking (SDN)
Τμήμα Πληροφορικής και ...
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Traffic Engineering in Software Defined Networking SDN
The traditional single path routing can cause imbalanced link utilization and is not efficient for all traffic types such as long lived large flows. Moreover, it can lead to low network throughput and high network latency. Traffic engineering TE is a key solution to solve these problems of single path.
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Security Enforcement through Software Defined Networks (SDN)
The original design of Internet did not take into consideration security aspects of the network; the priority was to facilitate the process of communication. Therefore, many of the protocols that are part of the Internet infrastructure expose a set of vulnerabilities that can be exploited by attackers to carry out a set of attacks.
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Introduction to Software Defined Networks (SDN)
Osisanwo F. Y. +3 more
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Software Defined Networks (SDN) in data center networks
Recently, new network services have emerged that have made the technologies we have been using for fifty years practically reach the limit of their capabilities. The appearance of Big Data, the introduction of cloud computing, applications in real time and the fact that modern communications are not exclusively between client and server, it is evident ...
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Design of an AI-driven secure 5G-SDN framework with federated reinforcement learning for anomaly detection, mitigation, and attack forensics. [PDF]
Shameli R, Rajkumar S.
europepmc +1 more source
A hybrid machine learning approach for detecting DDoS attacks in software-defined networks. [PDF]
Mahar IA +5 more
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