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Trusted and Secure Edge Intelligence for Large AI Models in IoT Sensor Networks

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".

Deadline for manuscript submissions: 31 May 2026 | Viewed by 43

Special Issue Editors


E-Mail Website
Guest Editor
State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China
Interests: edge/cloud computing; Internet of Things; internet of intelligence; satellite networks
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong 999077, China
Interests: blockchain; AI security
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The rapid development of the Internet of Things (IoT), together with the widespread deployment of distributed sensors and actuators, has generated unprecedented volumes of data that require real-time analysis and intelligent decision-making. Edge computing has emerged as a key paradigm for processing IoT data closer to where it is generated, thereby reducing communication overheads, improving system responsiveness, and supporting mission-critical applications such as industrial monitoring, smart healthcare, autonomous transportation, energy management, and environmental sensing. Meanwhile, the rise in large-scale AI models and generative AI has opened new opportunities for extracting valuable knowledge from heterogeneous IoT sensor data, enabling multimodal analytics and adaptive, context-aware services. However, deploying such models in edge–IoT networks introduces critical challenges in trust, security, and privacy. IoT sensors and edge nodes are resource-constrained and vulnerable to adversarial attacks, while large AI models demand intensive computation and raise concerns about trustworthiness, explainability, and privacy-preserving training. This Special Issue aims to provide a platform for researchers and practitioners to share their latest advances in trusted and secure edge intelligence for IoT networks empowered by large AI models. We encourage submissions that present novel architectures, algorithms, and applications that address both intelligent sensing and secure, trustworthy edge AI deployment. Potential topics include, but are not limited to:

  • Secure and trusted edge architectures for IoT sensor networks;
  • Deployment and optimization of large AI models in edge–IoT systems;
  • Privacy-preserving learning for sensor data (federated learning, homomorphic encryption, differential privacy);
  • Adversarial machine learning and defense strategies in IoT sensing environments;
  • Blockchain and decentralized trust for IoT and edge intelligence;
  • Lightweight compression, distillation, and adaptation of large AI models for sensor networks;
  • Trustworthy and explainable AI for IoT sensing applications;
  • Secure orchestration of edge–cloud resources for large AI models;
  • Industrial and mission-critical applications: smart healthcare, precision agriculture, industrial IoT, autonomous systems, energy grids, smart cities.

Dr. Qinqin Tang
Dr. Zhe Peng
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. Sensors 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 2600 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

  • edge intelligence
  • IoT Security
  • privacy-preserving learning
  • large AI models
  • trustworthy AI

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Published Papers

This special issue is now open for submission.
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