AI Tools and Methods for Computer Networks

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".

Deadline for manuscript submissions: 30 October 2024 | Viewed by 135

Special Issue Editors


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Guest Editor
Department of Computer Networks and Systems, Silesian University of Technology, Akademicka 16, 44-100 Gliwice, Poland
Interests: streaming video; video proces; modelling, networking

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Guest Editor
Department of Computer Science, Università degli Studi di Salerno, 84084 Fisciano, Italy
Interests: cryptography; information/data security; computer security; digital watermarking; cloud computing
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Special Issue Information

Dear Colleagues,

AI-based tools and methods are widely used for network performance, health and security management. AI can, for example, support learning normal network behaviour and highlighting abnormal actions, or improve network traffic prediction, which results in better resource usage for network applications. AI implements one or more machine learning models, which usually incorporate neural networks, decision trees, support vector machines, regression analysis, Bayesian networks and genetic algorithms.

Although AI techniques have achieved a lot of success, there are still areas in network management with potential for improvement. Therefore, this Special Issue should present new ideas and experimental results of AI applied to network management. It includes opportunities for AI application on aspects such as analysis, modelling and visualisation applied to contemporary network infrastructures, especially mobile wireless networks, IoT, SDN and cloud and storage systems. Moreover, there is an opportunity to demonstrate the benefits of AI tools or define novel AI-based network services focused on security, performance measurement and management, traffic prediction or event detection.

Topics of interest for this Special Issue include, but are not limited to, the following:

AI Techniques for Network Management:
  • Analysis, modelling and visualization;
  • Predictive analytics and real-time analytics;
  • Data mining, statistical modelling and machine learning for management;
  • Anomaly detection and prediction;
  • Traffic prediction and classification;
  • Event and log analytics, text mining;
  • Data models for deploying AI for network management and orchestration.

Application Domains:

  • 5G, 6G and beyond;
  • Internet of Things and cyber–physical systems;
  • Software-defined networks;
  • Network services;
  • Virtualised infrastructure, clouds and edge nodes;
  • Multimedia transmission, adaptive video streaming;
  • Social networks analysis and modelling;
  • Network health and performance management
  • Security, intrusion detection, threat analysis and failure detection;
  • Platforms for network monitoring and measurements.

Dr. Arkadiusz Biernacki
Dr. Arcangelo Castiglione
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • computer networks
  • artificial intelligence
  • machine learning
  • data mining
  • network management
  • traffic and anomaly prediction

Published Papers

This special issue is now open for submission.
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