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14 results for “Software Defined Networking”
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Research ArticleOpen accessEvery word in the titleA Novel Time-Based Switch Migration Method (TSSM) for Load Balancing in Distributed Software-Defined NetworkingThangaraj E, Dinesh K, Prabhakaran Paulraj et al.Switch migration is predominantly used for workload balancing in distributed Software Defined Network (SDN) controllers. The Time-Sharing Switch Migration (TSSM) technique allowed the switch's responsibility to be divided based on the time duration condition of overload, which resulted in fewer overload events, fewer ping-pong controller issues, and more efficient controllers. However, it has higher controller resource utilization during TSSM working … …Journal of Computer Science, Vol. 22, Issue 3 · 6 Mar 2026 · 1,586 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleCertain Contributions in Traffic Engineering Based on Software-Defined Networking TechnologyAs'ad Mahmoud As'ad AlnaserThe paper addresses the traffic engineering in Software-Defined Networks (SDN). A brief analysis of the features of the SDN organization, which allows to increase the Traffic Engineering (TE) efficiency, is given. The viability of using multipath routing with TE is substantiated. Taking into account the features of the SDN technology, a modified TE method, which allows to reduce the time … …Journal of Computer Science, Vol. 15, Issue 7 · 9 Jul 2019 · 7,704 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEfficiency Assessment of Software-Defined Networking for Real-Time Network SystemsNeelam Gupta, Sarvesh Tanwar, Sumit BadotraSoftware Networking (SDN) is growing in popularity due to its benefits, which include portability, mobility, analytics, and ease of creation. But it needs to be adequately shielded from security risks. One of the main vulnerabilities to the SDN network is the Distributed Denial-of-Service (DDoS) attack. To fulfill the demands of the complex and demanding security concerns of today, a new … …Journal of Computer Science, Vol. 20, Issue 6 · 8 Apr 2024 · 4,918 accessesView PDFCite
Research ArticleOpen accessIn the keywordsDeep Regularization Mechanism for Combating Class Imbalance Problem in Intrusion Detection System for Defending DDoS Attack in SDNNarender M, Yuvaraju B NIntegration of deep learning into Intrusion Detection Systems (IDS) for Software Defined Networking (SDN) is an emerging field of research. Most of the datasets used to build IDS are highly imbalanced, especially in the case of DDoS attacks, which account for a larger percentage of malicious samples than normal traffic. As a result of a class imbalance, the classification result … …Journal of Computer Science, Vol. 19, Issue 3 · 24 Feb 2023 · 5,659 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Conflict-Free Routing Tables Update Method for Persistent Multilink and Node Failures in SDN ArchitecturesYannick Florian Yankam, Jean Frédéric Myoupo, Vianney Kengne TchendjiThe large-scale network management abilities of centralized architectures, such as Software-Defined Networking (SDN), are attracting increasing interest from major computer networking companies. In this architecture type, the nodes follow the rerouting rules predefined by the control plane in the controller. However, when a link or node failure becomes persistent over the time, the controller must recompute the routing and rerouting … …Journal of Computer Science, Vol. 15, Issue 3 · 11 Mar 2019 · 7,469 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAutoencoder-Based Intrusion Detection for ARP Poisoning in SDN ControllersKago Seemela, Banyatsang Mphago, Thabo Semong, Phephisa MethulaAddress Resolution Protocol (ARP) poisoning is still a critical control plane attack in Software Defined Networks (SDNs), and spoofing of ARP mappings can trick SDNs controller and accomplish man in the middle, eavesdropping and denial of service attacks. Current SDN intrusion detection systems of ARP attacks rely on supervised learning and labelled attack data which is rather expensive and not … …Journal of Computer Science, Vol. 22, Issue 7 · 21 Jul 2026 · 869 accessesView PDFCite
Research ArticleOpen accessIn the abstractMFQ: Network Bandwidth Utilization among Data Centers on Software Defi ned Network Using Multilevel-Feedback QueueR Shanthy, K Sutha, J Emerson RajaThe growing complexity of network traffic patterns and congestion within data centers necessitate innovation in traditional network infrastructure. While advancements in storage, computing, and applications have progressed rapidly, networking has remained relatively stagnant, limiting the overall performance of data centers. Software-Defined Networking (SDN) emerges as a powerful solution by decoupling the control plane from the data plane, offering enhanced flexibility … …Journal of Computer Science, Vol. 21, Issue 7 · 29 Jul 2025 · 3,740 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Deep Ensemble Framework for DDoS Attack Recognition and Mitigation in Cloud SDN EnvironmentS. Annie Christila, R. SivakumarMuch research has been done in the recent past on the absolute shift of Internet infrastructure in order to make it more significantly programmable, configurable and make it more conveniently feasible. Software Defined Networking (SDN) forms the basis for this absolute shift in Internet infrastructure. When you look at the benefits of an SDN-based cloud environment they are monumental. Namely, … …Journal of Computer Science, Vol. 20, Issue 10 · 5 Aug 2024 · 5,337 accessesView PDFCite
Research ArticleOpen accessIn the abstractDeep Learning Approach to Mitigate DDoS Attacks in SDNHema Surendrakumar Dhadhal, Paresh Kotak, Parvez Faruki, Atul GonsaiThe rise of Distributed Denial of Service (DDoS) attacks remains a significant obstacle to network security and availability. This abstract presents a new hybrid model for DDoS mitigation in Software-Defined Networking (SDN) environments, combining a Semi-supervised Deep Extreme Learning Machine (Semi-Deep ELM) with a hybrid architecture. SDN's centralized control and programmability create an ideal platform for implementing advanced mitigation strategies. … …Journal of Computer Science, Vol. 20, Issue 9 · 5 Jul 2024 · 5,338 accessesView PDFCite
Research ArticleOpen accessIn the abstractDDoS Attack Detection Using Enhanced Neural Network Algorithm in Software-Defined NetworksHema Surendrakumar Dhadhal, Paresh P KotakWith the uncommon advancement of technology and networking, the world today is totally relying on it. The most obvious drawback of this technical progress resulted in several possible dangers. A Distributed Denial of Service (DDoS) attack is one in which a large number of compromised systems work together to prevent service from being provided to the targeted system. Consequently, to … …Journal of Computer Science, Vol. 19, Issue 6 · 24 May 2023 · 5,721 accessesView PDFCite