Joint Design and Integration in Smart IoT Systems, 2nd Edition

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

Deadline for manuscript submissions: 28 February 2026 | Viewed by 350

Special Issue Editors


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Guest Editor
Department of Computer & Information Sciences, Towson University, Towson 21252, MD, USA
Interests: cyber security and privacy; data- and machine-learning-driven applications in cyber-physical systems/Internet of Things
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Computer Science, Morgan State University, Baltimore, MD 21251, USA
Interests: cyber-physical systems; Internet of Things; computer security; quantum cryptography; data mining
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The use of Internet of Things (IoT) technology spans various application domains (e.g., transportation, energy, healthcare, manufacturing, and agriculture). A smart system empowered by IoT technology (also called a smart IoT system) integrates sensing, communication, and computation components into one system. The architecture of smart systems is composed of physical, communication, and computation layers. The physical layer comprises heterogeneous devices that facilitate sensing and actuation and capture and preprocess data from the surrounding environment. The communication layer enables efficient and reliable data transmission among components by leveraging network protocols, standards, and technologies. The computation layer provides intelligent decision making and automation through the use of edge/cloud computing and AI technologies.

Smart systems are large, distributed, and complex systems, empowered through diverse IoT technologies and involving the integration and management of heterogeneous components in different layers. However, there are numerous challenges associated with the design, integration, management, and coordination of smart systems. Developing cross-component and cross-layer architectures, standards, and frameworks is necessary to support efficient smart systems. Likewise, the scalability, interoperability, connectivity, security, and resilience requirements of smart systems must also be carefully considered. The papers in this Special Issue address the above challenges and propose solutions for the joint design and integration of smart systems at various levels.

We invite original research papers that focus on, but are not limited to, the following topics related to smart systems:

  • Integration design architecture and frameworks;
  • Co-design of sensing and communication components;
  • Co-design of communication and computing components;
  • Co-design of sensing and computing components;
  • Co-design of sensing, communication, and computing components;
  • AI-assisted co-design of sensing, communication, and computing components;
  • Modeling and simulation environments for evaluating co-design methodologies;
  • Security and privacy in the co-design and integration of smart systems;
  • Data science, engineering, and practice in the co-design and integration of smart systems;
  • Machine learning models and architectures in the co-design and integration of smart systems.

Prof. Dr. Wei Yu
Dr. Guobin Xu
Guest Editors

Manuscript Submission Information

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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. Future Internet is an international peer-reviewed open access monthly 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 1600 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

  • Internet of Things
  • smart systems
  • integration design architecture
  • co-design modeling and simulation
  • machine learning and data science/engineering in IoT
  • security in IoT

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Published Papers (1 paper)

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Research

17 pages, 1184 KiB  
Article
A Biologically Inspired Cost-Efficient Zero-Trust Security Approach for Attacker Detection and Classification in Inter-Satellite Communication Networks
by Sridhar Varadala and Hao Xu
Future Internet 2025, 17(7), 304; https://doi.org/10.3390/fi17070304 - 13 Jul 2025
Viewed by 159
Abstract
In next-generation Low-Earth-Orbit (LEO) satellite networks, securing inter-satellite communication links (ISLs) through strong authentication is essential due to the network’s dynamic and distributed structure. Traditional authentication systems often struggle in these environments, leading to the adoption of Zero-Trust Security (ZTS) models. However, current [...] Read more.
In next-generation Low-Earth-Orbit (LEO) satellite networks, securing inter-satellite communication links (ISLs) through strong authentication is essential due to the network’s dynamic and distributed structure. Traditional authentication systems often struggle in these environments, leading to the adoption of Zero-Trust Security (ZTS) models. However, current ZTS protocols typically introduce high computational overhead, especially as the number of satellite nodes grows, which can impact both security and network performance. To overcome these challenges, a new bio-inspired ZTS framework called Manta Ray Foraging Cost-Optimized Zero-Trust Security (MRFCO-ZTS) has been introduced. This approach uses data-driven learning methods to enhance security across satellite communications. It continuously evaluates access requests by applying a cost function that accounts for risk level, likelihood of attack, and computational delay. The Manta Ray Foraging Optimization (MRFO) algorithm is used to minimize this cost, enabling effective classification of nodes as either trusted or malicious based on historical authentication records and real-time behavior. MRFCO-ZTS improves the accuracy of attacker detection while maintaining secure data exchange between authenticated satellites. Its effectiveness has been tested through numerical simulations under different satellite traffic conditions, with performance measured in terms of security accuracy, latency, and operational efficiency. Full article
(This article belongs to the Special Issue Joint Design and Integration in Smart IoT Systems, 2nd Edition)
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