Artificial Intelligence in Next-Generation Networks: Cloud/Edge Perspectives and Applications

A special issue of Future Internet (ISSN 1999-5903). This special issue belongs to the section "Internet of Things".

Deadline for manuscript submissions: 31 July 2026 | Viewed by 1518

Special Issue Editors


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Guest Editor
Department of Informatics, Democritus University of Thrace, 65404 Kavala, Greece
Interests: embedded systems; systems of systems modeling; lorawan; physical Internet; industrial maintenance; VLSI computer systems

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Guest Editor
Department of Forest and Natural Environment Sciences, Democritus University of Thrace, 66100 Drama, Greece
Interests: multiagent systems; the Semantic Web; Internet of Things; ontologies; knowledge-based and rule systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Next-generation networks are expected to deal with a diverse range of applications. These applications will vary in requirements such as efficiency and trustworthiness. Artificial intelligence (AI) could enable such networks by adapting, optimizing, and providing intelligent services. This Special Issue explores the integration of AI in next-generation networks, focusing on cloud and edge computing perspectives while highlighting the role of promising technologies such as intelligent agents. More specifically, cloud computing provides a scalable and cost-effective solution for AI models, including, among others, network optimization, security threat detection, and service assurance. Edge computing, on the other hand, brings AI closer to the source of data, enabling real-time analysis and decision-making at the network edge. Additionally, in the context of next-generation networks, intelligent agents can be used in various applications, such as network management, user experience optimization, trustworthiness establishment, personalized network services, and automation.

The scope of this Special Issue, ‘Artificial Intelligence in Next-Generation Networks: Cloud/Edge Perspectives and Applications’, includes, but is not limited to, the following topics:

  • AI techniques for network optimization;
  • AI-powered network security;
  • Edge AI for network applications;
  • Edge AI for industrial IoT and autonomous systems;
  • Cloud-based AI for network management;
  • Intelligent agents for network automation;
  • Self-organizing networks and autonomous network management;
  • Intelligent agents for user experience optimization;
  • Trustworthiness and security in AI-powered networks;
  • Explainable AI and model interpretability.

Dr. Dimitris Karampatzakis
Dr. Thomas Lagkas
Dr. Kalliopi Kravari
Guest Editors

Manuscript Submission Information

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Keywords

  • next-generation networks
  • artificial intelligence in networking
  • cloud computing in networking
  • edge computing in networking
  • intelligent agents
  • explainable artificial intelligence
  • trustworthy artificial intelligence
  • mobile edge computing

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Published Papers (1 paper)

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Review

35 pages, 2073 KiB  
Review
Using the Zero Trust Five-Step Implementation Process with Smart Environments: State-of-the-Art Review and Future Directions
by Shruti Kulkarni, Alexios Mylonas and Stilianos Vidalis
Future Internet 2025, 17(7), 313; https://doi.org/10.3390/fi17070313 - 18 Jul 2025
Viewed by 339
Abstract
There is a growing pressure on industry to secure environments and demonstrate their commitment in taking right steps to secure their products. This is because of the growing number of security compromises in the IT industry, Operational Technology environment, Internet of Things environment [...] Read more.
There is a growing pressure on industry to secure environments and demonstrate their commitment in taking right steps to secure their products. This is because of the growing number of security compromises in the IT industry, Operational Technology environment, Internet of Things environment and smart home devices. These compromises are not just about data breaches or data exfiltration, but also about unauthorised access to devices that are not configured correctly and vulnerabilities in software components, which usually lead to insecure authentication and authorisation. Incorrect configurations are usually in the form of devices being made available on the Internet (public domain), reusable credentials, access granted without verifying the requestor, and easily available credentials like default credentials. Organisations seeking to address the dual pressure of demonstrating steps in the right direction and addressing unauthorised access to resources can find a viable approach in the form of the zero trust concept. Zero trust principles are about moving security controls closer to the data, applications, assets and services and are based on the principle of “never trust, always verify”. As it stands today, zero trust research has advanced far beyond the concept of “never trust, always verify”. This paper provides the culmination of a literature review of research conducted in the space of smart home devices and IoT and the applicability of the zero trust five-step implementation process to secure them. We discuss the history of zero trust, the tenets of zero trust, the five-step implementation process for zero trust, and its adoption for smart home devices and Internet of Things, and we provide suggestions for future research. Full article
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