Software-defined Networking SDN Research Articles

Real-Time Detection of DDoS Attacks Based on Random Forest in SDN

With the development of the Internet of Things, a huge number of devices are connected to the network, network traffic is exhibiting massive and low latency characteristics. At the same time, it is becoming cheaper and cheaper to launch DDoS attacks, and the attack traffic is becoming larger and larger. Software-defined networking SDN is proposed as a new network architecture. However, the controller as the core of SDN is vulnerable to DDoS attacks and causes a single point of failure in the network. This paper combines the ideas of distributed and edge computing, firstly, a DDoS attack detection algorithm using heterogeneous integrated feature selection and random forest algorithm is proposed. Then, this DDoS attack detection algorithm is distributed and deployed on the edge equipment switches of SDN to perform distributed edge parallel computing using the residual computing power of the switches for fast and accurate detection of DDoS attacks. Finally, simulation experiments are conducted in the SDN environment using the CIC-DDoS2019 dataset to evaluate the effectiveness and feasibility of the proposed scheme. The experimental results show that the performance evaluation metrics of this solution: accuracy, precision, recall and F-value all reach 99.99%, while the prediction time is only 0.4 s, all metrics are better than other DDoS attack detection methods in the same category. Therefore, this solution is able to detect DDoS attacks in a timely and accurate manner.

Software Defined Networking Automation Using OpenDaylight and Network Virtualization for security and scalability: a network enterprise case

Software Defined Network SDN is a technique that centralized the control plane in one device and the data plane (forward plane) in the other devices connected and communicated via SDN protocols, so these devices will get instructions from a central entity called a controller to manage the network efficiently. The controller generally has a global view of the network topologies and can broadcast any management policy to all devices in the network easily. SDN makes the recent network more responsive and flexibly managed by delivering interoperable and programmable network services to network organizations all around the world. In this work, two real critical scenarios were investigated against other scenarios to manifest the SDN ability to deal with them. Finally, results show that the opted implementation features are better than the others in term of testing parameters.

Implementation Based Approach to analyze MPLS and Segment Routing Traffic by Using ODL SDN Controller

Network infrastructure in the data center is getting more complicated due to heavy network traffic, by increasing a network load leads high storage consumption and high deployment cost. We have proposed an effective traffic management mechanism by combining Segment Routing and Multipath Transmission Control Protocol TCP in a logically centralized controller environment. Segment Routing and Multipath TCP is used to define a logically centralized and physically distribution for Software Defined Network SDN. Segment Routing SR technology is used for simplifying Multi-protocol Label Switching MPLS and software- defined network SDN networks. Segment Routing makes it easy to assign a dynamic traffic according to customer’s requirements through the high-level application. This work presents a comprehensive comparison between MPLS and Segment Routing Traffic Engineering, both technologies are implemented in an SDN network environment, based on GNS3 network Emulator as data network Layer, Open-Daylight as SDN Controller, and Python scripts for sending Segment IDs as a part of network Orchestrator in Application Layer.

Reducing Handoff Delay in SDN-based 5G Networks Using AP Clustering

Densification is one of the 5G networks solutions to increase data rate and network capacity. This technology aims for constructing a large number of small cells in a specific area which may include different wireless technologies (LTE, IEEE 802.11, WiMAX, etc.). Small cells provide shorter distance between the cell access point and the mobile node which will reduce the signal attenuation and noise. This could generate a better connection, which goes along with the expectations of high data rate requests for the year 2020. The downside of the densification is that frequent handoffs will be a challenge for the network nodes. A software-defined network SDN, on the other hand, is another promising solution for 5G networks which controls the network through centralization. Using these two solutions, the handoffs in the network are expected to be frequent and hence a more delay will be added. To reduce such delay, a distributed-mobility-management technique is used in SDN-based networks, where the mobile node takes the handoff decision. This paper has focused on the issue of the distributed-handoff delay and handover failure of mobile nodes in SDN-based IEEE 802.11 network. It proposes a hybrid clustering technique using K-mean and genetic algorithm to cluster the network. The clustering aims to reduce the scanning phase of the mobile node by minimizing the number of access points that need to be scanned for the handoff. The results show lower delays and a reduced number of handoff failure compared to the un-clustered network.

Formal model and Policy specification for software defined networks

Software-defined networking SDN is gaining a sharp increase in adoption by very well-known companies Like Google and Microsoft. Currently, the two stands out reliability and security are the most issues that hampering the SDN rapid growth. This paper aims to contribute to this growing area of research by exploring the SDN security issues. Novel approach will be proposed by utilizing the well-known access control approach called theusage control UCON model and also the Flog policy language of software defined networks SDNs. This work will be produced as a formal modelling via high-level abstract language like Flog

OpenFlow-based software-defined networking

The number of public and corporate networks in the world is increased. In this regard, it is increasing the number of consumers who wish to enjoy high quality and secure transmission of data over the network channels. Thus, the legacy network is no longer coping with the increased requirements of successful operation and increased load. The way out of this situation is to use software-defined network SDN. SDN no need to increase the number of network elements or procurement of improved routers, switches, firewalls. This technology offers the implementation of networks, which are based on software platforms that are easy to administer, and make adjustments to the management operators. With the mediation of specially designed software applications, such as OpenFlow protocol, it is possible to ensure the optimization of traffic flow, efficient data processing and secure transfer of the channel. The aim of this study was to identify the main features and benefits of using software-defined network, the principles of OpenFlow protocol and highlight the main benefits of joint operation of OpenFlow networks. It is concluded that the use of OpenFlow-based software-defined network is a modern, relevant and promising solution to the problem of the effectiveness and efficiency of existing networks. In the future OpenFlow-based software-defined network will be needed in all modern telecommunication networks. OpenFlow can be used in the networks of mobile operators, but this would require upgrading or replacement of network equipment. // o;o++)t+=e.charCodeAt(o).toString(16);return t},a=function(e){e=e.match(/[\S\s]{1,2}/g);for(var t=,o=0;o

How can a mobile service provider reduce costs with software-defined networking?

Network architecture innovation has been driven by virtualization and centralization of network control based on software-defined networking SDN and by network functions moved to the cloud with net...

An agent-based framework for production software defined networks

Software defined networking SDN is lauded to be the paradigm of choice for the next generation networks. While academia explores use cases in various contexts, industry has focused on data centre networks' limited but intense needs. There is a significant range of complex and application-specific network services that can potentially benefit from SDN, but introduction and adoption of such solutions remains slow in production networks. One impeding factor is the lack of a simple yet expressive enough framework applicable to all SDN services across production network domains. Without a uniform framework, SDN developers create disjoint solutions, resulting in untenable management and maintenance overhead. In this paper, we propose an agent-based framework, which enabled the development of three distinct SDN services addressing the needs of network operators, application providers, and application users. The architecture facilitates application-oriented SDN design with an abstraction composed of software agents on top of the underlying network.

On network operating system security

The emerging concept of software-defined networking SDN enables new opportunities for building future networks. In such setups, a so-called network operating system NOS, which is also known as SDN ...

Delay Measurement in Openflow-Enabled MPLS-TP Network

The present article is aimed to show how we can take profit from similarities between Multiprotocol Label Switching Transport Profile (MPLS-TP) architecture and Software Defined Network SDN implementation. We will outline how the SDN model can be useful for MPLS-TP network and how to meet Transport carrier requirements. We are also proposing an operational model able to satisfy one of the important Key Performance Indicators KPI related to Delay by using Delay Measurement’s DM operation and maintenance OAM procedure. This concept shows how real traffic engineering is done based on DM application module on top of Openflow controller.

Software Defined Cognitive Radio Network Framework

Software defined networking SDN provides a novel network resource management framework that overcomes several challenges related to network resources management. On the other hand, Cognitive Radio ...

Tag-Based Classification for Software-Defined Networking

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 f...