A framework to rapidly test SDN use-cases and accelerate middlebox applications

Narayanan, Rajesh; Lin, Geng; Syed, Affan A.; Shafiq, Saad; Gilani, Fahd

doi:10.1109/lcn.2013.6761330

Cited by 5 publications

(2 citation statements)

References 5 publications

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“…Narayanan et al [96] suggest an application extensibility framework for deploying middlebox functionality (such as encryption) on programmable switches which is compatible with the OpenFlow protocol. Their solution abstracts the packet processing modules on the switch, and creates a virtual port on the switch.…”

Section: Beyond Openflow and Network Functions Virtualizationmentioning

confidence: 99%

A Survey of Securing Networks Using Software Defined Networking

Ali

Sivaraman

Radford³

et al. 2015

IEEE Trans. Rel.

155

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Software Defined Networking (SDN) is rapidly emerging as a new paradigm for managing and controlling the operation of networks ranging from the data center to the core, enterprise, and home. The logical centralization of network intelligence presents exciting challenges and opportunities to enhance security in such networks, including new ways to prevent, detect, and react to threats, as well as innovative security services and applications that are built upon SDN capabilities. In this paper, we undertake a comprehensive survey of recent works that apply SDN to security, and identify promising future directions that can be addressed by such research.

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Section: Beyond Openflow and Network Functions Virtualizationmentioning

confidence: 99%

A Survey of Securing Networks Using Software Defined Networking

Ali

Sivaraman

Radford³

et al. 2015

IEEE Trans. Rel.

155

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“…The most dangerous situation that can occur is when the SDN controller is attacked, which can occur by exploiting the weaknesses of the processes and services implemented in the controller. As a result, the entire SDN network will be affected, and attackers will be able to take control of the entire network (Van Trung, et al, 2015, October, Narayanan, 2013.…”

Section: Introductionmentioning

confidence: 99%

Introducing a New Intrusion Detection Method in the SDN Network to Increase Security Using Decision Tree and Neural Network

Abdevand¹,

Ghanbari²,

Umarova³

et al. 2019

AzJHPC

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Computer networks are difficult to use due to the large number of devices such as router, switch, hop, and many sophisticated security management protocols, but in networks defined with integrated management and configuration software, software-based networks are nowadays important. They are high-end and will become one of the most used and important communication tools in the IT world in the future. In these networks, like all other networks, data security and protection is crucial because a network that is not secure will not work, in this paper, we present a new method of intrusion detection in this network, which consists of two parts: training and testing. Looking to determine if the network is normal or not? By checking the output of these two categories, the current status of the network is determined. The proposed method uses decision tree and neural network. In each first class of tree, the classification of abnormal data is classified and in the second class, the norm data is in decision tree. The output of the decision tree is neural network input Shows that the proposed method performs well.

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