scholarly journals Network Management Challenges in Software-Defined Networks

2014 ◽  
Vol E97.B (1) ◽  
pp. 2-9 ◽  
Author(s):  
Slawomir KUKLINSKI ◽  
Prosper CHEMOUIL
Keyword(s):  
Network Management ◽  
Software Defined Networks

SECURE SOFTWARE-DEFINED NETWORK MODEL INKVM VIRTUALIZATION ENVIRONMENT

2020 ◽  
Author(s):  
Д.В. Сахаров ◽  
А.В. Красов ◽  
И.А. Ушаков ◽  
Г.А. Орлов
Keyword(s):  
Network Management ◽  
Network Architecture ◽  
Data Transfer ◽  
Distributed Model ◽  
Software Defined Network ◽  
Software Defined Networks ◽  
Transfer Layer ◽  
Software Applications ◽  
Scientific Task ◽  
Management Functions

Рассматривается новая сетевая парадигма SDN (Software Defined Networks), в которой архитектура переходит от традиционной полностью распределенной модели к более централизованной. Данный подход характеризуется также раз делением плоскости данных и плоскости управления. Уровень управления сетью и уровень передачи данных разделяются, а функции управления сетью переносятся с маршрутизаторов и коммутаторов на программные приложения. Научная задача разработка защищенной модели SDN. A new network paradigm SDN (Software Defined Networks), in which the network architecture moves from a traditional fully distributed model to a more centralizedone, is considered. This approach is also characterized by the separation of the data plane and the control plane. The network management layer and the data transfer layer are separated, and the network management functions are transferred from routers and switches to software applications. The scientific task is the development of a secure SDN model.

scholarly journals Link Discovery Attacks in Software-Defined Networks: Topology Poisoning and Impact Analysis

2020 ◽  
pp. 596-606
Author(s):  
Sonali Sen Baidya ◽  
◽  
Rattikorn Hewett
Keyword(s):  
Network Management ◽  
Empirical Analysis ◽  
Impact Analysis ◽  
Defense Mechanism ◽  
Software Defined Networks ◽  
Discovery Process ◽  
Defense Systems ◽  
And Topology ◽  
Link Discovery ◽  
Sdn Controller

Software Defined Networking (SDN) has become a popular technology that offers advantages of programmable and flexible network management over the legacy practice. The centralized SDN controller is an important enabler of these benefits. One of the most crucial tasks of the SDN controller is link discovery as it provides topology of the network essential for the controller to direct or create rule forwarding and routing mechanisms. Much research on SDN security has been studied but only recently that security of OpenFlow link discovery protocols and topology poisoning have been addressed. Existing work includes link fabrication attacks via compromised hosts and defense systems with authentication. This paper discusses SDN link discovery process and its vulnerability to link discovery attacks including new attacks via compromised switches. We present a simple but effective defense mechanism using active ports that can detect both host-based and switch-based link discovery attacks. Finally, the paper presents an analytical and empirical analysis of the impacts of topology attacks on routing. The paper discusses attack details, proposed methods and results of these analyses.

Network management through graphs in Software Defined Networks

2014 ◽  
Author(s):  
Gustavo Pantuza ◽  
Frederico Sampaio ◽  
Luiz F. M. Vieira ◽  
Dorgival Guedes ◽  
Marcos A. M. Vieira
Keyword(s):  
Network Management ◽  
Software Defined Networks

scholarly journals Detecting P2P Botnet in Software Defined Networks

2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
Shang-Chiuan Su ◽  
Yi-Ren Chen ◽  
Shi-Chun Tsai ◽  
Yi-Bing Lin
Keyword(s):  
Machine Learning ◽  
Network Management ◽  
P2p Network ◽  
Software Defined Network ◽  
Software Defined Networks ◽  
Security Issues ◽  
Network Equipment ◽  
Traditional Approaches ◽  
Network Administrators ◽  
Sdn Controller

Software Defined Network separates the control plane from network equipment and has great advantage in network management as compared with traditional approaches. With this paradigm, the security issues persist to exist and could become even worse because of the flexibility on handling the packets. In this paper we propose an effective framework by integrating SDN and machine learning to detect and categorize P2P network traffics. This work provides experimental evidence showing that our approach can automatically analyze network traffic and flexibly change flow entries in OpenFlow switches through the SDN controller. This can effectively help the network administrators manage related security problems.

Development of NETCONF-Based Network Management Systems in Web Services Framework

2009 ◽  
Vol E92-B (4) ◽  
pp. 1104-1111 ◽  
Author(s):  
Tomoyuki IIJIMA ◽  
Hiroyasu KIMURA ◽  
Makoto KITANI ◽  
Yoshifumi ATARASHI
Keyword(s):  
Web Services ◽  
Network Management ◽  
Management Systems
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