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IEEE Networking Letters is a peer-reviewed journal published by IEEE, covering Software-Defined Networks and 5G, Human auditory perception and evaluation, Diverse Scientific and Economic Studies. Over its lifetime it has published 563 papers, which have received 4,080 citations.
| Publisher | IEEE |
|---|---|
| Reference style | Numbered (IEEE) Numbered — [1], [2] in the text [1] A. Smith, B. Jones, and C. Lee, "A representative article title," IEEE Networking Letters, vol. 12, no. 3, pp. 45–58, 2023.
Formats any DOI in IEEE Networking Letters style. No sign-up. |
| Publishes research in | Software-Defined Networks and 5G Human auditory perception and evaluation Diverse Scientific and Economic Studies Digital Media and Visual Art IoT and Edge/Fog Computing |
| ISSN | 2576-3156 |
| Citation impact (2-yr) | 1.68 |
| h-index | 27 |
| i10-index | 122 |
| Top institutions publishing here | University of Ottawa |
| Journal website | ieeexplore.ieee.org |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
In this letter, we present a comprehensive analysis of the use of machine and deep learning (DL) solutions for IDS systems in wireless sensor networks (WSNs). To accomplish this, we introduce restricted Boltzmann machine-based clustered IDS (RBC-IDS), a potential DL-based IDS methodology for monitoring critical infrastructures by WSNs. We study the performance of RBC-IDS, and…
In this letter, we introduce CGDNet, a cost-efficient hybrid neural network composed of a shallow convolutional network, a gated recurrent unit, and a deep neural network, for robust automatic modulation recognition for cognitive radio services of modern communication systems. Our model employs pooling layers, small filter sizes, Gaussian dropout layers, and skip connections which leads…
5G network slicing is essential to providing flexible, scalable, and on-demand solutions for the vast array of applications in 5G networks. Two key challenges of 5G network slicing are function isolation (intra-slice) and guaranteeing end-to-end delay for a slice. In this letter, we address the question of optimal allocation of a slice in 5G core…
In this letter, we present a two-stage pipeline for robust network intrusion detection. First, we implement an extreme gradient boosting (XGBoost) model to perform supervised intrusion detection, and leverage the SHapley Additive exPlanation (SHAP) framework to devise explanations of our model. In the second stage, we use these explanations to train an auto-encoder to distinguish…
With advent of 5G, the classical mobile network business model is shifting from a network-operator-oriented business to a more open system with several actors. In this context, the network slice provider will play the role of an intermediate entity between the vertical service provider and the resource provider. To deploy a network slice, the network…
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