Development and research of the PreFirewall network application for floodlight SDN controller

Morzhov, Sergey V.; Nikitinskiy, Mikhail A.

doi:10.1109/mwent.2018.8337255

Cited by 12 publications

(4 citation statements)

References 3 publications

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“…However, when using geographic routing, the Euclidean IEEE 802.1X tree algorithm can be taken advantage of [16], which is a problem that depends only on the number of nodes in the multicast group. Note that the proposed algorithm can introduce IEEE 802.1X (branch) points, which are not compatible with the nodes of the multicast data stream [17], although they are necessary to improve the route. In fact, IEEE 802.1X points is artificial because their coordinates [18] have the same network node.…”

Section: Methodsmentioning

confidence: 99%

An Improved Mechanism for SDN Flow Space to Control Oriented Authentication NAA Network

Fathima,

Vennila

2019

IJEAT

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The Open Daylight platform with its power by working with IEEE 802.1X port level authentication for wired and wireless networks has been very supportive because of the massive deployments at mean charge for main design considerations. Within the current marketplace, 802.1X has flourished the ground works for wireless, wire stability, LAN stability and authentication methods. EAP (Extensible Authentication Protocol) supports long time protection of the supplicant and the authentication software till the end condition of the RADIUS (Remote Authentication Dial-In User Service) server is met. This paper is focused on the RAR (RADIUS Access Request) unique identification about the users on the network with SAA (Supplicant, Authenticator and Authentication server) system which records on the attribute cost of RFC 2865 according to the forwarding server. NAA (Non-Adaptive Algorithm) using FlowVisor based virtualization packages drive inward the network timescales or statistics, dynamically controlling the flow space of switches to control the speed and results in scaling of networks. NAA is an application level protocol that contains authentication and configuration information between a Network Access Server and a shared authentication server. It avoids the attacker from listening for requests and responses from the server and calculates the improved MD5 client secret key of the response.

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Section: Methodsmentioning

confidence: 99%

An Improved Mechanism for SDN Flow Space to Control Oriented Authentication NAA Network

Fathima,

Vennila

2019

IJEAT

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“…Authors in (Sandhya et al, 2017) show that SDN is a promising architecture to build efficient TC model due to its network-wide visibility (Hayes & Ng, 2018). The current SDN controller can enhance TC in large-scale networks (Morzhov & Nikitinskiy, 2018).…”

Section: Related Workmentioning

confidence: 99%

“…In SDN (Morzhov & Nikitinskiy, 2018), coupling the control plane and the data plane has invented another method of routing packets. Routing becomes a communication between switches and SDN controllers instead of consulting a routing table in the routers.…”

Section: Information Routingmentioning

confidence: 99%

A Deep Learning Based Traffic Classification in Software Defined Networking

2021

14th IADIS International Conference Information Systems

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Moving from legacy internet applications, such as web, and e-mail, to dynamic complex applications, such as video streaming, and file sharing, improves the underlying network architectures to provide new services with high QoS requirements. Thus, a new network paradigm is developed and deployed; Software Defined Networking (SDN). As a result of the significant impact of using the internet, network traffic is growing up, and the network itself is becoming more overloaded. Therefore, new tools that can cover new requirements for high-quality services are becoming mandatory. Inherently, traffic classification (TC) has gained continuous interest as an important decision-centric approach to deliver the quality of service. The current main challenge is how to classify flows efficiently. In this work, a new method of classification for incoming flows is proposed. It is based on Deep learning and consists of using the MultiLayer Perceptron Model (MLP) to classify flows according to its constraints throughput and delay. Experimental results prove that the proposed approach outperforms parallel solutions in terms of precision. It can classify traffic with more than 97.7% precision compared to the Linear Regression classification and the Fuzzy Decision-tree model.

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“…Пусть каждая вершина дерева правил [3] [4] содержит хеш-таблицу (пару ключзначение). В качестве ключа в хеш-таблице будут храниться значения соответствующих уровню атрибутов правил политики безопасности, а в качестве значений для каждого из ключей в таблице будут храниться адреса памяти смежной вершины на уровень ниже.…”

Section: дерево правилunclassified

An Effective Algorithm for Collision Resolution in Security Policy Rules

Morzhov¹,

Sokolov²

2019

Model. anal. inf. sist.

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A firewall is the main classic tool for monitoring and managing the network traffic on a local network. Its task is to compare the network traffic passing through it with the established security rules. These rules, which are often also called security policy, can be defined both before and during the operation of the firewall. Managing the security policy of large corporate networks is a complex task. In order to properly implement it, firewall filtering rules must be written and organized neatly and without errors. In addition, the process of changing or inserting new rules should be performed only after a careful analysis of the relationship between the rules being modified or inserted, as well as the rules that already exist in the security policy. In this article, the authors consider the classification of relations between security policy rules and also give the definition of all sorts of conflicts between them. In addition, the authors present a new efficient algorithm for detecting and resolving collisions in firewall rules by the example of the Floodlight SDN controller.

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Development and research of the PreFirewall network application for floodlight SDN controller

Cited by 12 publications

References 3 publications

An Improved Mechanism for SDN Flow Space to Control Oriented Authentication NAA Network

An Improved Mechanism for SDN Flow Space to Control Oriented Authentication NAA Network

A Deep Learning Based Traffic Classification in Software Defined Networking

An Effective Algorithm for Collision Resolution in Security Policy Rules

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