Relevant bibliographies by topics / Softer Defined Networking (SDN)

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Academic literature on the topic 'Softer Defined Networking (SDN)'

Author: Grafiati
Published: 4 June 2021
Last updated: 5 February 2022

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Journal articles on the topic "Softer Defined Networking (SDN)"

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Guesmi, Tawfik, Anwar Kalghoum, Badr M. Alshammari, Haitham Alsaif, and Ahmed Alzamil. "Leveraging Software-Defined Networking Approach for Future Information-Centric Networking Enhancement." Symmetry 13, no. 3 (March 9, 2021): 441. http://dx.doi.org/10.3390/sym13030441.

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Information-centric networking (ICN) has been developed as a potential candidate for future networks. In this model, users are provided with content rather than communication channels between the different hosts. The ICN network has several problems such as scalability issues and bandwidth consumption. However, software-defined networking (SDN) has been proposed to improve the networking architectures. The goal of our paper is to propose a new approach to named-data networking (NDN) based on the paradigm of SDN. Our work introduces various research studies carried out in the SDN and ICN contexts. We first present the SDN architecture. Then, we focus on work that combines ICN and SDN architectures. Finally, we show the effects of using the SDN architecture on the named-data network (NDN). Our experimental results show that the use of the SDN architecture has a positive effect on NDN network performance.
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Benzekki, Kamal, Abdeslam El Fergougui, and Abdelbaki Elbelrhiti Elalaoui. "Software-defined networking (SDN): a survey." Security and Communication Networks 9, no. 18 (December 2016): 5803–33. http://dx.doi.org/10.1002/sec.1737.

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Tian, Chen, Jie Wu, and Haibin Song. "Software-Defined Networking in Access Networks." International Journal of Web Services Research 12, no. 1 (January 2015): 1–11. http://dx.doi.org/10.4018/ijwsr.2015010101.

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Software-Defined Networking proposes to fundamentally change the current practice of network control. The two basic ideas are Centralized State Control and Uniform Device Abstraction, which support the Software-Defined promise. SDN has made significant progress. The opportunities of SDN in carrier access networks have been largely ignored by both industry and academia. In access networks, Quality-of-Service (QoS) oriented bandwidth management is more critical; the flexible QoS provisioning could be the most important opportunity for SDN. In this position paper, the authors show that the unique characteristics of access networks pose significant challenges to the two basic ideas. Contrary to the common agreement on “match-action” abstraction, the authors argue that the object-oriented abstraction might be a better choice for access networks to make a better software-defined implementation.
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Mustafa, Firas M. "Software Defined Networking Based Optical Network: A review." Academic Journal of Nawroz University 9, no. 2 (June 29, 2020): 139. http://dx.doi.org/10.25007/ajnu.v9n2a718.

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In the field of networking, software-defined networking (SDN) has obtained a lot of concentration from both academic and industry, and it aims to provide a flexible and programmable level of control, beside obtain efficient control and management of network systems. For such reasons, the software-defined networks (SDN) can be deemed as an essential task to accomplish these requirements. In the datacenters and networks, the SDN is used to allow the administrators of the networks to start programming, controlling, changing, and managing dynamically the network behavior with open interfaces and a reflection of lower-level functionality because the need for SDN-like switching technology has become evident for many users of network equipment, especially in large data centers. There are many algorithms and applications that have been considered in SDN such as (FP-MA), EON, (EQUAL-APP) (VONCR-APP), and (T-SDN) as use cases for approval purposes because the SDN provides several focal points to the power, operation, and administration of extensive range networks. This paper aims to review Optical Network using SDN, where many types of research papers are present techniques to improve near-optimal traffic engineering and management; measurement and monitoring of the significant parameters of the optical networks and manage the cross-layer issues such as debugging and testing.
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Babbar, Himanshi, and Shalli Rani. "Emerging Prospects and Trends in Software Defined Networking." Journal of Computational and Theoretical Nanoscience 16, no. 10 (October 1, 2019): 4236–41. http://dx.doi.org/10.1166/jctn.2019.8506.

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In today’s era Software Defined Networking (SDN) has accumulated popularity in both the Industry and Academia. SDN is massively facilitated by different sectors, there is an abundant amount of work going on in the studies where SDN is required. Improving the load balancing in SDN plays an important role in solving the problem in the specific domain. Since 2009, publications in this field are getting doubled approximately, it takes a short time for bibliometric analysis. This paper facilitates the comprehensive survey on “SDN Load Balancing” for the fixed frame of timeline. 530 publications related to the Load Balancing in SDN were scrutinized based on the database of Scopus. This paper investigated the publications of research on multiple parameters: 1. Publishing patterns e.g., Authors and affiliations 2. Keywords to examine the specific domain 3. Analysis of keywords 4. Citation patterns 5. Several publications. Lastly, it examines the survey of literature based on the quantifiable structures of SDN load balancing on several perspectives. The suggested analytical study will act as an influential instrument for substantial discussion of impending research schemes.
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Hussein, A., Louma Chadad, Nareg Adalian, Ali Chehab, Imad H. Elhajj, and Ayman Kayssi. "Software-Defined Networking (SDN): the security review." Journal of Cyber Security Technology 4, no. 1 (August 8, 2019): 1–66. http://dx.doi.org/10.1080/23742917.2019.1629529.

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Karakus, Murat, and Arjan Durresi. "Economic Viability of Software Defined Networking (SDN)." Computer Networks 135 (April 2018): 81–95. http://dx.doi.org/10.1016/j.comnet.2018.02.015.

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Ali, Tariq Emad, Ameer Hussein Morad, and Mohammed A. Abdala. "Traffic management inside software-defined data centre networking." Bulletin of Electrical Engineering and Informatics 9, no. 5 (October 1, 2020): 2045–54. http://dx.doi.org/10.11591/eei.v9i5.1928.

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In recent years, data centre (DC) networks have improved their rapid exchanging abilities. Software-defined networking (SDN) is presented to alternate the impression of conventional networks by segregating the control plane from the SDN data plane. The SDN presented overcomes the limitations of traditional DC networks caused by the rapidly incrementing amounts of apps, websites, data storage needs, etc. Software-defined networking data centres (SDN-DC), based on the open-flow (OF) protocol, are used to achieve superior behaviour for executing traffic load-balancing (LB) jobs. The LB function divides the traffic-flow demands between the end devices to avoid links congestion. In short, SDN is proposed to manage more operative configurations, efficient enhancements and further elasticity to handle massive network schemes. In this paper the opendaylight controller (ODL-CO) with new version OF 1.4 protocol and the ant colony optimization algorithm is proposed to test the performance of the LB function using IPv6 in a SDN-DC network by studying the throughput, data transfer, bandwidth and average delay performance of the networking parameters before and after use of the LB algorithm. As a result, after applying the LB, the throughput, data transfer and bandwidth performance increased, while the average delay decreased.
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Fondo-Ferreiro, Pablo, and Felipe Gil-Castiñeira. "The Role of Software-Defined Networking in Cellular Networks." Proceedings 21, no. 1 (July 31, 2019): 23. http://dx.doi.org/10.3390/proceedings2019021023.

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In this paper, we discuss how SDN can contribute to enhance future cellular networks. We first present SDN and describe its characteristics. Then, we explore how SDN can be used to improve current cellular networks, analyzing the advantages and disadvantages, while highlighting some use cases. Finally, we conclude this work exposing some challenges that still require further research to take full advantage of SDN in cellular networks.
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Farhady, Hamid, and Akihiro Nakao. "Tag-Based Classification for Software-Defined Networking." International Journal of Grid and High Performance Computing 7, no. 1 (January 2015): 1–14. http://dx.doi.org/10.4018/ijghpc.2015010101.

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Software-Defined Networking (SDN) increasingly attracts more researchers as well as industry attentions. Most of current SDN packet processing approaches classify packets based on matching a set of fields on the packet against a flow table and then applying an action on the packet. The authors argue that it is possible to simplify this mechanism using single-field classification and reduce the overhead. They propose a tag-based packet classification architecture to reduce filtering and flow management overhead. Then, they show how to use this extra capacity to perform application layer classification for different purposes. The authors demonstrated their evaluation results to indicate the effectiveness of the proposal. Furthermore, they implemented a customized user-defined SDN action that addresses some security challenges of one of their previous works and showed performance evaluation results.
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Dissertations / Theses on the topic "Softer Defined Networking (SDN)"

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Liver, Toma, and Mohammed Darian. "Soft Migration from Traditional to Software Defined Networks." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-44265.

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The concept of Software Defined Networking (SDN) may be a way to face the fast growing computer network infrastructure with its demands and requirements. The concept is attracting the interest of enterprises to expand their respective network infrastructures, but one has to consider the impacts of migrating from an existing network infrastructure to an SDN network. One way that could minimize the impacts is to proceed a soft migration from a traditional IP network to SDN, creating what is so called a heterogeneous network. Instead of fully replacing the network infrastructure and face the impacts of it, the idea of the soft migration is to replace a part of it with an environment of SDN and examine the performance of it. This thesis work will analyze the performance of a network consisting of a traditional IP network combined with SDN. It is essential during this work to identify the differences in performance when having a heterogeneous network in comparison with having a dedicated traditional IP network. Therefore, the questions that will be addressed during this thesis work is to examine how such a heterogeneous network can be designed and measure the performance of it in terms of throughput, jitter and packet losses. By the method of experimentation and the studying of related works of the SDN fundamentals, we hope to achieve our goals with this thesis work, to give us and the reader a clearer insight.
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Pitzus, Antonio. "SDN : Software Defined Networking." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2017. http://amslaurea.unibo.it/14006/.

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In un periodo in cui tutto si evolve rapidamente, il settore delle telecomunicazioni sta assistendo alla crescita esponenziale del numero di dispositivi mobili costantemente connessi alla rete; ciò richiede la necessità di un nuovo modo di gestire le reti. La nuova visione che sta maturando in questi ultimi tempi è quella di adottare un modello di rete dinamico, flessibile e soprattutto affidabile e che non richieda grossi sforzi di manutenzione o l’installazione di ulteriori hardware da parte degli operatori. Una rete con queste caratteristiche può essere sviluppata grazie ad un modello architetturale innovativo come il Software Defined Networking (SDN) e ad un nuovo modo di sfruttare le funzionalità degli apparati di rete come la Network Function Virtualization (NFV), la quale è a sua volta un processo di virtualizzazione delle funzionalità di rete svolte da apparati di telecomunicazione fisici. Questi due concetti sono strettamente legati tra loro e possono comportare particolari vantaggi se applicati contemporaneamente, ma sono di per sè indipendenti. Software Defined Networking (SDN) è un’ architettura utilizzata per la realizzazione di reti di telecomunicazione nelle quali il piano di controllo della rete e quello del trasporto dei dati sono separati logicamente. La Network Function Virtualization (NFV) è il processo di virtualizzazione delle funzionalità di rete svolte da apparati di telecomunicazione fisici. Un ultimo aspetto da trattare riguarda la comunicazione del controller SDN di alto e basso livello. La comunicazione di alto livello, ovvero quella con i software applicativi è consentita grazie alle NBI (North-Bound Interfaces), mentre quella di basso livello, ovvero con i dispositivi hardware è consentita grazie alle SBI (South-Bound Interfaces). Queste due interfacce riescono a soddisfare le richieste del controller SDN grazie all' applicazione del paradigma Intent NBI, di tipo dichiarativo, non prescrittivo e indipendente dal fornitore.
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Jiménez, Agudelo Yury Andrea. "Scalability and robustness in software-defined networking (SDN)." Doctoral thesis, Universitat Politècnica de Catalunya, 2016. http://hdl.handle.net/10803/397652.

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The simplicity of Internet design has led to enormous growth and innovation. In recent decades several network technologies, services and applications have appeared, which demand specific network requirements for their correct operation. In traditional networks, operators are responsible for providing a network configuration sufficiently robust to deal with a wide range of network events and applications. To achieve this is incredibly difficult because: i) the state of the networks can change continuously and today's networks do not provide a mechanism to automatically respond to the wide range of events that may occur and ii) the static nature of current network devices does not permit detailed control-layer configuration, given that the hardware and software are provided by the manufacturer and can not be customized. This is the basis of the current, present-day Internet and its architecture, that has grown in an evolutionary fashion from experimental beginnings, rather than from a deliberate strategy. The unpredictable network growth in terms of size and heterogeneity, has exposed a number of fundamental complexities in the current architecture. For instance, the manual configuration of control functions on network devices that may lead to misconfigurations. This is evident that network management requires more intelligent and efficient management systems to coordinate thousands of network elements and applications, the high demand on network performance and growing configuration complexity. In recent decades, several approaches have been introduced in order to improve the network management, such as: MPLS, virtualization and programmable networks. These latter networks have been proposed as a way of facilitating network evolution. In particular, Software Defined Networking (SDN), a networking paradigm focused on allowing software developers to rely on network resources in an easy manner, unifying the state network distribution and a general-purpose technique to manage any type of network in an transparent manner. In SDN, network intelligence is logically centralized in software-based controllers (the control layer), and network devices become simple packet forwarding devices (the data layer) that can be programmed via an open interface. By decoupling the control and data layers, network devices can be easily programmed and reconfigured, allowing the behaviour of different types of network devices to be unified. Even though SDN is quite recent, it has already been standardized and implemented in the Internet by several recognized companies such as Google. Several SDN architectures have been proposed to handle current and future network services. However, there are still important research challenges to be addressed in SDN. Some of these current challenges are related to: i) SDN scalability as control is centralized, ii) control layer robustness as any failure can lead to switches to be disconnected from the controller, iii) consistency of network information as wrong decisions can be made affecting network performance and iv) security as controllers can be attacked. The purpose of this thesis is to address the first three of the aforementioned problems. They are addressed from the first premise, ignoring existing approaches offered in traditional networks to remedy some of these issues. First, a controller placement protocol is proposed, taking into account the network/service requirements. To measure the robustness of a control layer, a robustess metric is designed and evaluated. This metric can also be used to select controller placements in a SDN network that minimize the data loss. Finally, a resource discovery protocol is designed, implemented and evaluated. This protocol discovers any network topology in time efficient, avoiding making assumptions about the network state as it happens in traditional networks.
En las redes tradicionales, los operadores de red son responsables de proporcionar una configuración de red lo suficientemente robusta que permita gestionar los diferentes tipos de eventos que puedan afectar el funcionamiento de esta y los requerimientos de los servicios. Esto es difícil de alcanzar dado que: i) el funcionamiento de las redes puede variar en cualquier momento y las redes actuales no cuentan con un mecanismo que les permita reaccionar eficientemente al amplio rango de eventos que pueden ocurrir y ii) la naturaleza estática de las elementos de red no permite una detallada configuración dado que su hardware/software no pueden ser modificados de una manera eficiente. El impredecible crecimiento de la red en terminos de su tamaño y su heterogeneidad, han expuesto un número de complejidades en la actual arquitectura de red. Primero, los elementos de red tienen que soportar un gran número de comandos/configuraciones sobre un especifico sistema operativo, dificultando la instalación de un nuevo software sobre ellos, debido a incompatibilidades con el hardware o debido a que el software es incapaz de gestionar las capacidades del hardware. Segundo, la configuración manual de las funciones de control sobre los elementos de red pueden llevar a configurar erróneamente las tablas de enrutamiento. Finalmente, la integración vertical de los middleboxes dificulta a los operadores especificar las políticas de alto nivel sobre las tradicionales tecnologías de red. La gestión de la red requiere un sistema inteligente y eficiente que coordine: i) los miles de elementos y aplicaciones presentes en la red, ii) la alta demanda sobre el rendimiento de la red y iii) la creciente complejidad en la configuración de las redes. En las últimas décadas, diferentes soluciones han sido propuestas con el objetivo de mejorar la gestión de la red, tales como MPLS, virtualización y las redes programables. En este último caso, las redes definidas por software o SDNs permiten a los desarrolladores de software gestionar los recursos de red en una manera fácil, dado que la distribución del estado de la red es unificado, lo cual permite gestionar cualquier tipo de red en una manera transparente y en tiempo eficiente. En SDN, la inteligencia de la red esta lógicamente centralizada en unos elementos de red llamados controladores, de modo que los demás elementos que actúan en la red solo transmiten paquetes hacia el destino. Estos elementos, son configurados por los controladores a través de una interface abierta. Es decir, SDN desacopla la capa de control de la capa de datos permitiendo que los elementos de red puedan ser programados y re-configurados independiente del tipo de red. Aún cuando SDN es reciente, este ha sido estandarizado e implementado por diferentes compañías (ej. Google). Sin embargo, hay varios desafios por resolver en SDN aún. Algunos de estos desafios están relacionados con: i) la escalabilidad de los controladores, como estos están centralizados, ii) la robustez de la capa de control, dado que un fallo en esta puede dejar los elementos de red sin conexión con el controlador, iii) la consistencia de la información de control, para evitar tomar decisiones que afecten la operación de la red, y finalmente iv) la seguridad. En esta tesis, los primeros tres desafios son tratados desde el punto de vista de la localización de los controladores en la red, los cuales son seleccionados teniendo en cuenta los requerimientos de los servicios/aplicaciones y las características de la red. La primera contribución de esta tesis es un algoritmo que selecciona el número de controladores y su localización en la red. Un parámetro de robustez que permite seleccionar los controladores desde los cuales se construye una capa de control robusta y también puede medir la robustez de cualquier capa de control, es definida. Finalmente, un protocolo que descubre la topología y características de cualquier red es propuesto y evaluado.
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Hossain, Md Billal. "QoS-Aware Intelligent Routing For Software Defined Networking." University of Akron / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=akron1595086618729923.

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Tseng, Yuchia. "Securing network applications in software defined networking." Electronic Thesis or Diss., Sorbonne Paris Cité, 2018. http://www.theses.fr/2018USPCB036.

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Suite à l'introduction de divers services Internet, les réseaux informatiques ont été reconnus ‏comme ayant joué un rôle essentiel dans la vie moderne au cours du dernier demi-siècle. Le ‏développement rapide et la convergence des technologies informatiques et de communication ‏créent le besoin de connecter divers périphériques avec différents systèmes d'exploitation ‏et protocoles. Il en résulte de nombreux défis pour fournir une intégration transparente ‏d'une grande quantité de dispositifs physiques ou d'entités hétérogènes. Ainsi, les réseaux ‏définis par logiciel (Software Defined Networks, SDN) en tant que paradigme émergent ont ‏le potentiel de révolutionner la gestion des réseaux en centralisant le contrôle et la visibilité ‏globale sur l'ensemble du réseau. Cependant, les problèmes de sécurité demeurent une préoccupation ‏importante et empêchent l'adoption généralisée du SDN.‏‏ Pour identifier les menaces, nous avons effectué une analyse en 3 dimensions pour évaluer ‏la sécurité de SDN. Dans cette analyse, nous avons repris 9 principes de sécurité pour ‏le contrôleur SDN et vérifié la sécurité des contrôleurs SDN actuels avec ces principes. ‏Nous avons constaté que les contrôleurs SDN, ONOS et OpenContrail sont relativement plus ‏sécurisés que les autres selon notre méthodologie d'analyse. Nous avons également trouvé ‏le besoin urgent d'atténuer le problème d'injection d'applications malveillantes. Par conséquent, ‏nous avons proposé une couche d'amélioration de la sécurité (Security-enhancing layer, couche SE) ‏pour protéger l'interaction entre le plan de contrôle et le plan d’application. ‏‏Cette couche SE est indépendante du contrôleur et peut fonctionner avec OpenDaylight, ONOS, ‏Floodlight, Ryu et POX, avec une faible complexité de déploiement. Aucune modification de ‏leurs codes sources n'est requise dans leur mise en œuvre alors que la sécurité globale du ‏contrôleur SDN est améliorée. Le prototype I, Controller SEPA, protège le contrôleur ‏SDN avec l'authentification de l'application réseau, l'autorisation, l'isolation des ‏applications et le blindage de l'information avec un coût additionnel négligeable de moins ‏de 0,1% à 0,3%. Nous avons développé le prototype II de la couche SE, appelé Controller DAC, ‏qui rend dynamique le contrôle d'accès. Le controller DAC peut détecter l'utilisation ‏abusive de l'API en comptabilisant les opérations de l'application réseau avec un coût ‏additionnel inférieure à 0,5%.‏‏ Grâce à cette couche SE, la sécurité globale du contrôleur SDN est améliorée mais avec un ‏coût additionnel inférieure à 0,5%. De plus, nous avons tenté de fournir un framework de ‏déploiement d'application réseau sécurisé pour le contrôleur SDN avec un orchestrateur. ‏Tout d'abord, nous avons sécurisé le contrôleur SDN en utilisant la file d'attente de ‏messages pour remplacer les interfaces populaires actuelles, y compris les RESTful APIs ‏et les APIs internes, à l'aide d'une interface orientée événement décomposable. Avec cette ‏nouvelle interface northbound, l'orchestrateur peut déployer les applications réseau dans ‏le bac à sable(sanbox) avec contrôle des ressources et contrôle d'accès. Cette approche ‏peut efficacement protéger contre les menaces, qui incluent les attaques d'épuisement des ‏ressources (Resource exhaustion attacks) et le traitement des données sur le contrôleur SDN ‏actuel. Nous avons également implémenté une application réseau déployée par l'orchestrateur ‏pour détecter une attaque spécifique à OpenFlow, appelée attaque par contournement de priorité, ‏pour évaluer l'utilité de l'interface norttbound. À long terme, le temps de traitement d'un ‏message packet_in dans cette interface est inférieur à cinq millisecondes mais l'application ‏réseau peut être complètement découplée et isolée du contrôleur SDN.‏‏
The rapid development and convergence of computing technologies and communications ‏create the need to connect diverse devices with different operating systems and protocols.‏ This resulted in numerous challenges to provide seamless integration of a large amount of ‏heterogeneous physical devices or entities. Hence, Software-defined Networks (SDN), as an ‏emerging paradigm, has the potential to revolutionize the legacy network management and‏ accelerate the network innovation by centralizing the control and visibility over the network. ‏However, security issues remain a significant concern and impede SDN from being widely‏ adopted.‏‏To identity the threats that inherent to SDN, we conducted a deep analysis in 3 dimensions‏ to evaluate the security of the proposed architecture. In this analysis, we summarized 9‏security principles for the SDN controller and checked the security of the current well-known‏ SDN controllers with those principles. We found that the SDN controllers, namely ONOS ‏and OpenContrail, are relatively two more secure controllers according to our conducted ‏methodology. We also found the urgent need to integrate the mechanisms such as connection ‏verification, application-based access control, and data-to-control traffic control for securely ‏implementing a SDN controller. In this thesis, we focus on the app-to-control threats, which ‏could be partially mitigated by the application-based access control. As the malicious network ‏application can be injected to the SDN controller through external APIs, i.e., RESTful APIs, or ‏internal APIs, including OSGi bundles, Java APIs, Python APIs etc. In this thesis, we discuss ‏how to protect the SDN controller against the malicious operations caused by the network‏ application injection both through the external APIs and the internal APIs. ‏We proposed a security-enhancing layer (SE-layer) to protect the interaction between the‏ control plane and the application plane in an efficient way with the fine-grained access control, ‏especially hardening the SDN controller against the attacks from the external APIs. This‏ SE-layer is implemented in the RESTful-based northbound interfaces in the SDN controller‏ and hence it is controller-independent for working with most popular controllers, such as‏ OpenDaylight, ONOS, Floodlight, Ryu and POX, with low deployment complexity. No‏ modifications of the source codes are required in their implementations while the overall security ‏of the SDN controller is enhanced. Our developed prototype I, Controller SEPA, protects well‏ the SDN controller with network application authentication, authorization, application isolation,‏ and information shielding with negligible latency from less than 0.1% to 0.3% for protecting‏ SDN controller against the attacks via external APIs, i.e, RESTful APIs. We developed also‏ the SE-layer prototype II, called Controller DAC, which makes dynamic the access control.‏ Controller DAC can detect the API abuse from the external APIs by accounting the network‏ application operation with latency less than 0.5%. Thanks to this SE-layer, the overall security of the SDN controller is improved but with a latency of less than 0.5%. However, the SE-layer can isolate the network application to communicate the controller only through the RESTful APIs. However, the RESTful APIs is ‏insufficient in the use cases which needs the real-time service to deliver the OpenFlow messages. ‏Therefore, we proposed a security-enhancing architecture for securing the network application‏ deployment through the internal APIs in SDN, with a new SDN architecture dubbed SENAD. In‏ SENAD, we split the SDN controller in: (1) a data plane controller (DPC), and (2) an application ‏plane controller (APC) and adopt the message bus system as the northbound interface instead ‏of the RESTful APIs for providing the service to deliver the OpenFlow messages in real-time.‏ (...)
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Aydeger, Abdullah. "Software Defined Networking for Smart Grid Communications." FIU Digital Commons, 2016. http://digitalcommons.fiu.edu/etd/2580.

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Emerging Software Defined Networking (SDN) technology has provided excellent flexibility to large-scale networks in terms of control, management, security, and maintenance. On the other hand, recent years witnessed a tremendous growth of the critical infrastructure networks, namely the Smart-Grid, in terms of its underlying communication infrastructure. Such large local networks requires significant effort in terms of network management and security. We explore the potential utilization of the SDN technology over the Smart Grid communication architecture. Specifically, we introduce three novel SDN deployment scenarios in local networks of Smart Grid. Moreover, we also investigate the pertinent security aspects with each deployment scenario along with possible solutions. On the other hand, we conducted experiments by using actual Smart Grid communication data to assess the recovery performance of the proposed SDN-based system. The results show that SDN is a viable technology for the Smart Grid communications with almost negligible delays in switching to backup wireless links.
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Adduci, Pietro. "Software-Defined Networking: lo standard Openflow." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2014. http://amslaurea.unibo.it/7241/.

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Nyberg, Tihmmy. "Introduktion till Software Defined Networking : Utvärdering av kontroller." Thesis, Mittuniversitetet, Institutionen för informationssystem och –teknologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-39380.

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Denna studie fokuserar på att samla information om Software Defined Networking, dess protokoll och dess kontroller. Det som jag har lärt mig under arbetet kommer att användas för att utvärdera två olika kontroller, POX och ONOS. Ett traditionellt nätverks kommer att sättas upp fysiskt och användas som en grund för att jämföra kontrollerna. Den traditionella lösningen använder två routrar och fyra switchar, och egenskaper som testas är bland annat lager 2 och lager 3 samt deras protokoll för redundans. Kontrollerna kommer sedan att användas för att se om de lever upp till samma krav. Resultaten av denna studie visar att varken POX eller ONOS kunde användas för varje testat scenario, inte med de moduler som kontrollerna kommer förinstallerade med. Det visade också att de egenskaper som de levde upp till var en hel del lättare att konfigurera och övervaka jämfört med dess traditionella motsvarigheter. Detta visar vikten av att lista ut vad som behövs och förväntas från nätverket innan man försöker hitta en passande lösning för att utföra detta. All information som samlats i denna studie används också för att skapa en laboration som ska introducera andra till koncepten kring SDN. Den undersöker hur Mininet kan användas för att virtualisera ett nätverk, hur flöden kan installeras med OpenFlow samt hur en kontroller kan användas för att förenkla administration av ett nätverk.
This study focuses on gathering information about Software Defined Networking, it's protocols ans it's controllers. What I have learned doing this will be used to evaluate two different controllers, POX and ONOS. A traditional network setup will be set up physically and serve as a base when it comes to comparing the controllers. The traditional setup includes two routers and four switches, and among the tested characteristics are layer 2 and 3 and it's redundancy protocols. The controllers will then be used to try and live up to the same characteristics. The result of this study shows that neither POX nor ONOS could be used for every scenario tested, not with the basic modules the controllers comes with. It also showed that the characteristics they did manage was a fair bit easier to setup and monitor compared to it's traditional counterparts, thus showing the importance of figuring out what is needed from a network before trying to find a fitting solution to how it needs to be set up. All the information gathered in this study is also used to create a lab instruction meant to introduce others to the concepts of SDN. It explores how to use Mininet to virtualise a network environment, how to install flows using OpenFlow and how to use a controller to simplify the management of the network.
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Kim, Hyojoon. "Facilitating dynamic network control with software-defined networking." Diss., Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/53939.

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This dissertation starts by realizing that network management is a very complex and error-prone task. The major causes are identified through interviews and systematic analysis of network config- uration data on two large campus networks. This dissertation finds that network events and dynamic reactions to them should be programmatically encoded in the network control program by opera- tors, and some events should be automatically handled for them if the desired reaction is general. This dissertation presents two new solutions for managing and configuring networks using Software- Defined Networking (SDN) paradigm: Kinetic and Coronet. Kinetic is a programming language and central control platform that allows operators to implement traffic control application that reacts to various kinds of network events in a concise, intuitive way. The event-reaction logic is checked for correction before deployment to prevent misconfigurations. Coronet is a data-plane failure recovery service for arbitrary SDN control applications. Coronet pre-plans primary and backup routing paths for any given topology. Such pre-planning guarantees that Coronet can perform fast recovery when there is failure. Multiple techniques are used to ensure that the solution scales to large networks with more than 100 switches. Performance and usability evaluations show that both solutions are feasible and are great alternative solutions to current mechanisms to reduce misconfigurations.
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Fahlén, Tony. "En jämförande studie mellan Software-Defined Networking protokollen OpenFlow & OpFlex." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-35565.

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Software-Defined Networking är ett sätt att implementera ett nätverk som helt styrs från en central plats. Målet med SDN är att vara ett flexibelt nätverk som snabbt kan förändras för att klara av dagens massiva dataströmmar. För att SDN ska kunna fungera krävs det att ett protokoll används för att sköta kommunikationen mellan den centrala kontrollpunkten och nätverksutrustningen i nätverket. OpenFlow är ett sådant protokoll. OpenFlow protokollet är väl etablerat och används i många av dagens SDN-nätverk. Ett alternativ till detta är OpFlex, ett protokoll som är nytt på dagens marknad men har stöd från en mängd stora tillverkare i datavärlden. Målet med denna rapport är att jämföra dessa protokoll både teoretisk och även praktiskt via experiment i laborationsmiljö för att identifiera likheter och skillnader mellan protokollen. För att kunna jämföra dem utfördes först en omfattande litteraturstudie där information samlades in och sammanställdes om protokollen. Efter detta sattes en laborationsmiljö upp för att testa hur protokollen arbetar. Efter experimenten sammanställdes litteraturstudien och laborationsresultaten och protokollen bedömdes på olika områden. Slutligen lyftes olika situationer fram där respektive protokoll skulle lämpas att väljas över det andra.
Software-Defined Networking is a way to implement a fully-managed network from a central location. The goal of SDN is to be a flexible network that can quickly adapt to new configurations to handle today’s massive data streams. In order for SDN to work, a protocol is required to manage communication between the central control point and the network equipment within the network. OpenFlow is such a protocol, The OpenFlow protocol is very well established and used in many of today’s SDN networks. An alternative to OpenFlow is OpFlex, a protocol that is relatively new on today’s market, but has the support of many major manufacturers within networking and computers. The aim of this thesis is to compare these protocols both theoretically and practically through experiments in a laboratory environment to identify similarities and differences between these protocols. In order to be able to compare them, a comprehensive literature study was first conducted where information about the protocols was collected and compiled. After this, a laboratory environment was set up to test how the protocols work. After the experiments, the literature study and the laboratory results were compiled the protocols were assessed in different areas. Finally, different situations were raised where each protocol would be suitable to be chosen over the other.
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Books on the topic "Softer Defined Networking (SDN)"

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Italy) IEEE SDN for Future Networks and Services (2013 Trento. 2013 IEEE SDN for Future Networks and Services (SDN4FNS 2013): Trento, Italy, 11-13 November 2013. Piscataway, NJ: IEEE, 2013.

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Software defined networking (SDN) : anatomy of openFlow. Lulu, 2015.

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Hares, Susan. SDN Distilled: A Brief Guide to Software Defined Networking. Pearson Education, Limited, 2025.

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Blokdyk, Gerardus. Software-Defined Networking SDN production A Complete Guide - 2019 Edition. 5STARCooks, 2019.

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SDN and NFV Security: Security Analysis of Software-Defined Networking and Network Function Virtualization. Springer, 2018.

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Network innovation through openflow and SDN : principles and design. CRC, 2014.

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author, Szarkowicz Krzysztof Grzegorz, ed. MPLS in the SDN era: Interoperable scenarios to make networks scale to new services. 2016.

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Book chapters on the topic "Softer Defined Networking (SDN)"

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Ali, Syed Riffat. "Software Defined Networking (SDN)." In Signals and Communication Technology, 105–30. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01647-0_4.

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Pujolle, Guy. "SDN (Software-Defined Networking)." In Software Networks, 15–48. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2015. http://dx.doi.org/10.1002/9781119005100.ch2.

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Zeng, Deze, Lin Gu, Shengli Pan, and Song Guo. "Software Defined Networking I: SDN." In Software Defined Systems, 57–76. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32942-6_4.

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Huang, Dijiang, Ankur Chowdhary, and Sandeep Pisharody. "SDN and NFV." In Software-Defined Networking and Security, 81–108. First edition. | Boca Raton, FL : CRC Press/Taylor & Francis Group, 2018. | Series: Data-enabled engineering: CRC Press, 2018. http://dx.doi.org/10.1201/9781351210768-4.

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Huang, Dijiang, Ankur Chowdhary, and Sandeep Pisharody. "SDN and NFV Security." In Software-Defined Networking and Security, 127–49. First edition. | Boca Raton, FL : CRC Press/Taylor & Francis Group, 2018. | Series: Data-enabled engineering: CRC Press, 2018. http://dx.doi.org/10.1201/9781351210768-6.

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Attili, Venkata Ramana, Sreenivasa Rao Annaluri, and V. S. Podili Srinivas. "Security Issues in SDN." In Software-Defined Networking for Future Internet Technology, 1–55. New York: Apple Academic Press, 2021. http://dx.doi.org/10.1201/9781003145721-1.

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Huang, Dijiang, Ankur Chowdhary, and Sandeep Pisharody. "Security Policy Management in Distributed SDN Environments." In Software-Defined Networking and Security, 247–80. First edition. | Boca Raton, FL : CRC Press/Taylor & Francis Group, 2018. | Series: Data-enabled engineering: CRC Press, 2018. http://dx.doi.org/10.1201/9781351210768-12.

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Apat, Hemant Kumar, Bibhudatta Sahoo, Pranitha Madapathi, and Prasenjit Maiti. "SDN-Enabled Fog Computing Architecture." In Software-Defined Networking for Future Internet Technology, 217–36. New York: Apple Academic Press, 2021. http://dx.doi.org/10.1201/9781003145721-8.

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Cugini, Filippo, Piero Castoldi, Mayur Channegowda, Ramon Casellas, Francesco Paolucci, and Alberto Castro. "Software Defined Networking (SDN) in Optical Networks." In Optical Networks, 217–44. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30174-7_9.

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Nantoume, Adama, Benjamin Kone, Ahmed Dooguy Kora, and Boudal Niang. "Software Defined Networking (SDN) for Universal Access." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 133–44. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-05198-3_12.

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Conference papers on the topic "Softer Defined Networking (SDN)"

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Zhang, Zhao, Hailong Li, Siqi Dong, and Lei Hu. "Software Defined Networking (SDN) Research Review." In 2018 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2018). Paris, France: Atlantis Press, 2018. http://dx.doi.org/10.2991/mecae-18.2018.129.

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Mahmoodi, T. "5G and Software-defined Networking (SDN)." In 5G Radio Technology Seminar. Exploring Technical Challenges in the Emerging 5G Ecosystem. Institution of Engineering and Technology, 2015. http://dx.doi.org/10.1049/ic.2015.0034.

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Karakus, Murat, and Arjan Durresi. "Service Cost in Software Defined Networking (SDN)." In 2017 IEEE 31st International Conference on Advanced Information Networking and Applications (AINA). IEEE, 2017. http://dx.doi.org/10.1109/aina.2017.111.

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ThangaMurugan, K. A. "Software Defined Networking (SDN) for Aeronautical communications." In 2013 IEEE/AIAA 32nd Digital Avionics Systems Conference (DASC). IEEE, 2013. http://dx.doi.org/10.1109/dasc.2013.6719632.

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Gelberger, Alexander, Niv Yemini, and Ran Giladi. "Performance Analysis of Software-Defined Networking (SDN)." In 2013 IEEE 21st International Symposium on Modelling, Analysis & Simulation of Computer and Telecommunication Systems (MASCOTS). IEEE, 2013. http://dx.doi.org/10.1109/mascots.2013.58.

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Achleitner, Stefan, Thomas La Porta, Trent Jaeger, and Patrick McDaniel. "Adversarial Network Forensics in Software Defined Networking." In SOSR '17: Symposium on SDN Research. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3050220.3050223.

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Achleitner, Stefan, Thomas La Porta, Trent Jaeger, and Patrick McDaniel. "Adversarial Network Forensics in Software Defined Networking." In SOSR '17: Symposium on SDN Research. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3050220.3060599.

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Shin, Seungwon, Lei Xu, Sungmin Hong, and Guofei Gu. "Enhancing Network Security through Software Defined Networking (SDN)." In 2016 25th International Conference on Computer Communication and Networks (ICCCN). IEEE, 2016. http://dx.doi.org/10.1109/icccn.2016.7568520.

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Aziz, Normaziah A., Teddy Mantoro, M. Aiman Khairudin, and A. Faiz b. A. Murshid. "Software Defined Networking (SDN) and its Security Issues." In 2018 International Conference on Computing, Engineering, and Design (ICCED). IEEE, 2018. http://dx.doi.org/10.1109/icced.2018.00018.

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ElDefrawy, Karim, and Tyler Kaczmarek. "Byzantine Fault Tolerant Software-Defined Networking (SDN) Controllers." In 2016 IEEE 40th Annual Computer Software and Applications Conference (COMPSAC). IEEE, 2016. http://dx.doi.org/10.1109/compsac.2016.76.

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Reports on the topic "Softer Defined Networking (SDN)"

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Denazis, S., J. Hadi Salim, D. Meyer, and O. Koufopavlou. Software-Defined Networking (SDN): Layers and Architecture Terminology. Edited by E. Haleplidis and K. Pentikousis. RFC Editor, January 2015. http://dx.doi.org/10.17487/rfc7426.

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Bhuvaneswaran, V., A. Basil, M. Tassinari, V. Manral, and S. Banks. Terminology for Benchmarking Software-Defined Networking (SDN) Controller Performance. RFC Editor, October 2018. http://dx.doi.org/10.17487/rfc8455.

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Bhuvaneswaran, V., A. Basil, M. Tassinari, V. Manral, and S. Banks. Benchmarking Methodology for Software-Defined Networking (SDN) Controller Performance. RFC Editor, October 2018. http://dx.doi.org/10.17487/rfc8456.

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Marin-Lopez, R., G. Lopez-Millan, and F. Pereniguez-Garcia. A YANG Data Model for IPsec Flow Protection Based on Software-Defined Networking (SDN). RFC Editor, July 2021. http://dx.doi.org/10.17487/rfc9061.

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