Forthcoming Articles

International Journal of Networking and Virtual Organisations

International Journal of Networking and Virtual Organisations (IJNVO)

Forthcoming articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

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International Journal of Networking and Virtual Organisations (2 papers in press)

Regular Issues

  • Strengthen Traffic Scheduling in Software Defined Networks with Server Integration   Order a copy of this article
    by Nagma Begum, Syed Ahmad, Ishrathunissa - 
    Abstract: The current surge in emerging technologies in networking has significantly improved people's lives by providing convenience and enjoyment. However, these technologies pose higher demands on network data processing and required a balance between security and stability. To meet the current demands of load balancing the traditional network architectures uses the link modules and overlooks the server modules to improve the efficiency of the network. This study proposes the Path-Server Traffic Scheduling (PSTS) algorithm. It introduces server modules and utilises the Software-Defined Network (SDN) paradigm with modular functionality implementation through the RYU controller. The procedure includes assessing performance metrics, specifically impact factors at both the link and server levels. By calculating weights based on previously obtained impact factor information, the algorithm ranks and filters each link and server, providing support for optimal traffic scheduling. Simulation results attain superior average bandwidth utilisation and reduced average transmission latency when compared to existing algorithm.
    Keywords: Software-Defined Networking; Traffic Scheduling; Load Balancing; Path-Server Traffic Scheduling Algorithm.
    DOI: 10.1504/IJNVO.2025.10076199
     
  • CLMO-XAI-SVDM: Cannibalistic Lead With Long Short-Term Memory Hybridised Explainable Artificial Intelligence For Ddos Attack Detection   Order a copy of this article
    by Komal Jakotiya, Vishal Shirsath, Sharanabasava Inamadar 
    Abstract: Distributed denial of service (DDoS) attack detection is necessitated as the security of the network data in recent decades is highly demandable. Several researches exist with numerous advantages but still contain certain challenges. To deal with the limitations and to perform significant attack detection, Cannibalistic Lead with Long Short-Term Memory hybridized Explainable Artificial Intelligence (CLMO-XAI-SDBM) is proposed in the research. Further, the incorporation of the CLMO algorithm enhances the efficiency of the detection model as it remains the combination of characteristics of the bio-inspired algorithms. The classifier model included in the proposed research provides the advantages of handling the high-dimensional data and learning the multi-scaled features at different time series. The experimental results demonstrated that the proposed model attains high efficiency, which is evaluated with metrics such as precision, recall, and F1-score attaining 95.72%, 95.78%, and 95.71% respectively.
    Keywords: Distributed denial of service; Machine learning; Deep Learning; Explainable Artificial Intelligence; and Cannibalistic Lead Mactans Optimisation.
    DOI: 10.1504/IJNVO.2025.10076358
     

 

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