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  • Open Access

    ARTICLE

    Towards a Dynamic Virtual IoT Network Based on User Requirements

    Faisal Mehmood1, Shabir Ahmad2,3, Israr Ullah1, Faisal Jamil1, DoHyeun Kim1,*

    CMC-Computers, Materials & Continua, Vol.69, No.2, pp. 2231-2244, 2021, DOI:10.32604/cmc.2021.017528

    Abstract The data being generated by the Internet of Things needs to be stored, monitored, and analyzed for maximum IoT resource utilization. Software Defined Networking has been extensively utilized to address issues such as heterogeneity and scalability. However, for small-scale IoT application, sometimes it is considered an inefficient approach. This paper proposes an alternate lightweight mechanism to the design and implementation of a dynamic virtual network based on user requirements. The key idea is to provide users a virtual interface that enables them to reconfigure the communication flow between the sensors and actuators at runtime. The throughput of the communication flow… More >

  • Open Access

    ARTICLE

    Packet Optimization of Software Defined Network Using Lion Optimization

    Jagmeet Kaur1, Shakeel Ahmed2, Yogesh Kumar3, A. Alaboudi4, N. Z. Jhanjhi5, Muhammad Fazal Ijaz6,*

    CMC-Computers, Materials & Continua, Vol.69, No.2, pp. 2617-2633, 2021, DOI:10.32604/cmc.2021.017470

    Abstract There has been an explosion of cloud services as organizations take advantage of their continuity, predictability, as well as quality of service and it raises the concern about latency, energy-efficiency, and security. This increase in demand requires new configurations of networks, products, and service operators. For this purpose, the software-defined network is an efficient technology that enables to support the future network functions along with the intelligent applications and packet optimization. This work analyzes the offline cloud scenario in which machines are efficiently deployed and scheduled for user processing requests. Performance is evaluated in terms of reducing bandwidth, task execution… More >

  • Open Access

    ARTICLE

    Entropy-Based Approach to Detect DDoS Attacks on Software Defined Networking Controller

    Mohammad Aladaileh1, Mohammed Anbar1,*, Iznan H. Hasbullah1, Yousef K. Sanjalawe1,2, Yung-Wey Chong1

    CMC-Computers, Materials & Continua, Vol.69, No.1, pp. 373-391, 2021, DOI:10.32604/cmc.2021.017972

    Abstract The Software-Defined Networking (SDN) technology improves network management over existing technology via centralized network control. The SDN provides a perfect platform for researchers to solve traditional network’s outstanding issues. However, despite the advantages of centralized control, concern about its security is rising. The more traditional network switched to SDN technology, the more attractive it becomes to malicious actors, especially the controller, because it is the network’s brain. A Distributed Denial of Service (DDoS) attack on the controller could cripple the entire network. For that reason, researchers are always looking for ways to detect DDoS attacks against the controller with higher… More >

  • Open Access

    ARTICLE

    A Novel Features Prioritization Mechanism for Controllers in Software-Defined Networking

    Jehad Ali1, Byungkyu Lee2, Jimyung Oh2, Jungtae Lee3, Byeong-hee Roh1,*

    CMC-Computers, Materials & Continua, Vol.69, No.1, pp. 267-282, 2021, DOI:10.32604/cmc.2021.017813

    Abstract The controller in software-defined networking (SDN) acts as strategic point of control for the underlying network. Multiple controllers are available, and every single controller retains a number of features such as the OpenFlow version, clustering, modularity, platform, and partnership support, etc. They are regarded as vital when making a selection among a set of controllers. As such, the selection of the controller becomes a multi-criteria decision making (MCDM) problem with several features. Hence, an increase in this number will increase the computational complexity of the controller selection process. Previously, the selection of controllers based on features has been studied by… More >

  • Open Access

    ARTICLE

    Kernel Search-Framework for Dynamic Controller Placement in Software-Defined Network

    Ali Abdi Seyedkolaei1, Seyed Amin Hosseini Seno1,*, Rahmat Budiarto2

    CMC-Computers, Materials & Continua, Vol.68, No.3, pp. 3391-3410, 2021, DOI:10.32604/cmc.2021.017313

    Abstract In software-defined networking (SDN) networks, unlike traditional networks, the control plane is located separately in a device or program. One of the most critical problems in these networks is a controller placement problem, which has a significant impact on the network’s overall performance. This paper attempts to provide a solution to this problem aiming to reduce the operational cost of the network and improve their survivability and load balancing. The researchers have proposed a suitable framework called kernel search introducing integer programming formulations to address the controller placement problem. It demonstrates through careful computational studies that the formulations can design… More >

  • Open Access

    ARTICLE

    Automated Controller Placement for Software-Defined Networks to Resist DDoS Attacks

    Muhammad Reazul Haque1, Saw Chin Tan1, Zulfadzli Yusoff2,*, Kashif Nisar3,5,6, Lee Ching Kwang2,7, Rizaludin Kaspin4, Bhawani Shankar Chowdhry5, Rajkumar Buyya8, Satya Prasad Majumder9, Manoj Gupta10, Shuaib Memon11

    CMC-Computers, Materials & Continua, Vol.68, No.3, pp. 3147-3165, 2021, DOI:10.32604/cmc.2021.016591

    Abstract In software-defined networks (SDNs), controller placement is a critical factor in the design and planning for the future Internet of Things (IoT), telecommunication, and satellite communication systems. Existing research has concentrated largely on factors such as reliability, latency, controller capacity, propagation delay, and energy consumption. However, SDNs are vulnerable to distributed denial of service (DDoS) attacks that interfere with legitimate use of the network. The ever-increasing frequency of DDoS attacks has made it necessary to consider them in network design, especially in critical applications such as military, health care, and financial services networks requiring high availability. We propose a mathematical… More >

  • Open Access

    ARTICLE

    Intelligent Framework for Secure Transportation Systems Using Software-Defined-Internet of Vehicles

    Mohana Priya Pitchai1, Manikandan Ramachandran1,*, Fadi Al-Turjman2, Leonardo Mostarda3

    CMC-Computers, Materials & Continua, Vol.68, No.3, pp. 3947-3966, 2021, DOI:10.32604/cmc.2021.015568

    Abstract The Internet of Things plays a predominant role in automating all real-time applications. One such application is the Internet of Vehicles which monitors the roadside traffic for automating traffic rules. As vehicles are connected to the internet through wireless communication technologies, the Internet of Vehicles network infrastructure is susceptible to flooding attacks. Reconfiguring the network infrastructure is difficult as network customization is not possible. As Software Defined Network provide a flexible programming environment for network customization, detecting flooding attacks on the Internet of Vehicles is integrated on top of it. The basic methodology used is crypto-fuzzy rules, in which cryptographic… More >

  • Open Access

    ARTICLE

    Load Balancing Algorithm for Migrating Switches in Software-Defined Vehicular Networks

    Himanshi Babbar1, Shalli Rani1,*, Mehedi Masud2, Sahil Verma3, Divya Anand4, Nz Jhanjhi5

    CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 1301-1316, 2021, DOI:10.32604/cmc.2021.014627

    Abstract In Software-Defined Networks (SDN), the divergence of the control interface from the data plane provides a unique platform to develop a programmable and flexible network. A single controller, due to heavy load traffic triggered by different intelligent devices can not handle due to it’s restricted capability. To manage this, it is necessary to implement multiple controllers on the control plane to achieve quality network performance and robustness. The flow of data through the multiple controllers also varies, resulting in an unequal distribution of load between different controllers. One major drawback of the multiple controllers is their constant configuration of the… More >

  • Open Access

    ARTICLE

    Quality of Service Improvement with Optimal Software-Defined Networking Controller and Control Plane Clustering

    Jehad Ali, Byeong-hee Roh*

    CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 849-875, 2021, DOI:10.32604/cmc.2021.014576

    Abstract The controller is indispensable in software-defined networking (SDN). With several features, controllers monitor the network and respond promptly to dynamic changes. Their performance affects the quality-of-service (QoS) in SDN. Every controller supports a set of features. However, the support of the features may be more prominent in one controller. Moreover, a single controller leads to performance, single-point-of-failure (SPOF), and scalability problems. To overcome this, a controller with an optimum feature set must be available for SDN. Furthermore, a cluster of optimum feature set controllers will overcome an SPOF and improve the QoS in SDN. Herein, leveraging an analytical network process… More >

  • Open Access

    ARTICLE

    Intelligent Software-Defined Network for Cognitive Routing Optimization Using Deep Extreme Learning Machine Approach

    Fahd Alhaidari1, Sultan H. Almotiri2, Mohammed A.Al Ghamdi2, Muhammad Adnan Khan3,*, Abdur Rehman4, Sagheer Abbas4, Khalid Masood Khan3, Atta-ur-Rahman5

    CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 1269-1285, 2021, DOI:10.32604/cmc.2021.013303

    Abstract In recent years, the infrastructure, instruments, and resources of network systems are becoming more complex and heterogeneous, with the rapid development of current internet and mobile communication technologies. In order to efficaciously prepare, control, hold and optimize networking systems, greater intelligence needs to be deployed. However, due to the inherently dispensed characteristic of conventional networks, Machine Learning (ML) techniques are hard to implement and deployed to govern and operate networks. Software-Defined Networking (SDN) brings us new possibilities to offer intelligence in the networks. SDN’s characteristics (e.g., logically centralized control, global network view, software-based site visitor analysis, and dynamic updating of… More >

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