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Software-Defined Networking (SDN) Security Concerns
Published in Noor Zaman Jhanjhi, Khalid Hussain, Azween Bin Abdullah, Mamoona Humayun, João Manuel R.S. Tavares, Information Security Handbook, 2022
Muhammad Junaid Nazar, Saleem Iqbal, Saud Altaf, Kashif Naseer Qureshi, Khalid Hussain Usmani, Sobia Wassan
Software-Defined Networking (SDN) is a networking approach to enable network administrators to respond rapidly through (logically) a centralized controller. It may change the limitations of classical network infrastructure. SDN broke the vertical integration and separates the control plane (controller) from the data plane (switches) that forward the traffic. The main idea behind SDN is to decouple the data plane/forwarding plane from the control plane, where the controller controls and manages the device that resides in the forwarding plane. The centrally controlled control plane benefits the SDN because it’s flexible and programmable and has control over network traffic flows. The control and data plane are decoupled, which could be understood using a programming interface among SDN controller and switches. The network administrator can manage and control the network and packet-processing functions through his own program.
Trust-Based GPS Faking Attack Detection in Cognitive Software-Defined Vehicular Network (CSDVN)
Published in Asis Kumar Tripathy, Chiranji Lal Chowdhary, Mahasweta Sarkar, Sanjaya Kumar Panda, Cognitive Computing Using Green Technologies, 2021
Rajendra Prasad Nayak, Srinivas Sethi, Sourav Kumar Bhoi
Nowadays, Software Defined Network (SDN) provides a better architecture for VANET, which improves the performance of the network [5–8]. SDN is a centralized architecture that divides the network into a data plane and control plane to provide services like QoS, security, optimization, low cost, availability, and better resource utilization in a dynamic environment. It makes the network flexible where the total control of the network is with the SDN controller at the control end. From the control end, the SDN controller controls the whole network by setting rules and regulations. The two layers are connected by the Openflow protocol. The two technologies are hybridized to generate a Software-Defined Vehicular Network (SDVN). The SDVN network divides the network into the data plane and control plane. In the control plane, the SDN controller exists and in the data plane, the vehicle—that has small intelligence for processing data—exists, and it follows the policies set by SDN to execute all works. This will be a better technology to divide the work into both parts. However, if the vehicles use cognitive computing technology, then it will be better for the network to perform well. Cognitive computing [9–11] facilitates the SDVN to work better by using techniques such as AI, machine learning, reasoning, etc. The techniques help predict, classify, etc. by taking prior knowledge about the network behavior. This concept motivates us to build a CSDVN network.
Cloud evolved packet core network architecture based on Software-Defined Networking (SDN)
Published in Lin Liu, Automotive, Mechanical and Electrical Engineering, 2017
Yaoyun Zhang, Zhan Xu, Zhigang Tian
SDN (Kobayashi, 2014) is a new network innovation architecture, it is an indispensable way to realise network virtualisation. It is the core of the separation of the data plane and control plane in a mobile core network. The control plane is detached from the hardware and centrally controlled through the network, making programming easier and thus optimising the network management. SDN (Zheng Yihua, 2013) can provide a standard interface to control network resource access and network traffic. OpenFlow interface protocol is one of them. OpenFlow (OF) protocol is the core technology of the SDN, which defines the control layer and the forwarding device of the communication protocol.
A Fuzzy Based Routing Approach for Improving Online Conferencing Services in Software Defined Networking
Published in Cybernetics and Systems, 2023
Jianwen Cheng, Xiaoyan Zhu, Simin Abedi
SDN is a new architecture for computer networks, during which data control is separated from the data itself and its transmission (Hu et al. 2016). Current routers and switches of networks perform data transfer and control operations together. In SDN architecture, data control is separated from the switch and router hardware and goes to a higher layer and is done by software (Nasiri et al. 2022; Zhong et al. 2022). With separating the control plane from the data plane in hardware, organizations can have many software available for data control and thus increase the speed, flexibility, scalability, availability and reliability of the network (Ghobaei-Arani and Shahidinejad 2022). The SDN standard is designed in such a way that it makes the process of sending data in networks easier and the flexibility of networks for intelligent planning (Berahmand et al. 2021). The basic architecture for SDN is shown in Figure 1.
5GSS: a framework for 5G-secure-smart healthcare monitoring
Published in Connection Science, 2022
Jianqiang Hu, Wei Liang, Osama Hosam, Meng-Yen Hsieh, Xin Su
In this architecture, sensors and advanced health services can be connected to the edge cloud through 5G RANs (Radio Access Networks). 5G RAN includes a distributed unit and a central unit, which has a bottom–top protocol stack: Radio Frequency, PHY, MAC, Radio Link Control, and Packet Data Convergence Protocol. Additionally, 5G RANs support a wide range of spectrum bands. SDN and Network Functions Virtualisation Infrastructure (NFV) are important driving forces for 5G network to edge computing. SDN can divide a network into control plane and data plane to improve network flexibility and agility, which helps to deploy new services and simplify network management. As a consequence, 5G SDN is suitable for dynamic sensors and reliable nature of advanced health services. Moreover, NFV performs network functions in virtual machines on edge servers, which can provide flexible and scalable networks to process large amounts of physical data and context information. Context-aware data fusion and health situation identification are constructed in the form of VFVs, which can run as virtual machines. Through SDN and NFV infrastructure, the 5G-IPv6 network architecture (see Figure 3) shows very good flexibility, cost-efficiency, and scalability. Mobility management scheme
A dynamic network traffic classifier using supervised ML for a Docker-based SDN network
Published in Connection Science, 2021
Pritom Kumar Mondal, Lizeth P. Aguirre Sanchez, Emmanuele Benedetto, Yao Shen, Minyi Guo
Software-defined network (SDN) is an emerging architecture that promises better performance and low latency. It is dynamically manageable, and ideal for high-bandwidth applications (David, 2020). SDN has attracted interest in networking by introducing the logical centralisation of control. It separates the control plane from the data plane, offering a global view of the network. Compared to traditional networks, SDN is easier to deploy, facilitates the implementation of network services, and offers scalable management within the networking infrastructure. To build SDN networks, researchers have focused their studies on existing SDN-supported NFV (Tseng et al., 2019) and emulators such as Mininet (n.d.), OFNet (n.d.), and Estinet (n.d.). Although Mininet emulator is widely used for working with OpenFlow (Open Virtual Switch, n.d.) virtual switches (OVS), it carries certain limitations in customising switches and adding applications to hosts. In this paper, we address this issue and propose a new Docker container-based virtual network.