Securing the Future: Computational Innovations in IoT Network Resilience and Security

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E1: Mathematics and Computer Science".

Deadline for manuscript submissions: 20 November 2025 | Viewed by 387

Special Issue Editor


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Guest Editor
School of Computer Science and Mathematics, Kingston University, Kingston Upon Thames KT1 2EE, UK
Interests: Internet of Things networks; cyber-physical system; cyber security
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Special Issue Information

Dear Colleagues,

The rapid expansion of the Internet of Things (IoT) is reshaping industries, cities, and everyday life through interconnected devices that collect and exchange data. Yet as IoT networks grow, they face significant challenges in performance and security. Many IoT devices—often designed with limited processing power and minimal built-in security—are vulnerable to cyberattacks. This is especially concerning as these networks manage critical systems like smart grids, healthcare devices, and transportation infrastructure. To address these risks, innovative research is urgently needed to develop resilient network architectures, robust security protocols, and real-time monitoring tools capable of defending against evolving threats.

This Special Issue, “Securing the Future: Computational Innovations in IoT Network Resilience and Security”, seeks cutting-edge solutions to these challenges. Key areas of focus include lightweight encryption for low-power devices, AI-driven threat detection, intrusion prevention systems, and frameworks for trust management. Researchers are also exploring technologies like blockchain to enhance data integrity and decentralized security. Submissions should aim to improve IoT scalability, interoperability, and resilience while safeguarding privacy and reliability. We welcome original studies, reviews, and case studies that bridge theory and practice, ultimately contributing to secure, efficient IoT ecosystems ready to meet the demands of a hyper-connected world.

Dr. Hu Yuan
Guest Editor

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Keywords

  • IoT network
  • communication and networking
  • secure computing
  • cyber-physical systems
  • cyber security
  • privacy and security

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Published Papers (1 paper)

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Research

20 pages, 3269 KiB  
Article
PSL-IoD: PUF-Based Secure Last-Mile Drone Delivery in Supply Chain Management
by Mohammad D. Alahmadi, Ahmed S. Alzahrani, Azeem Irshad and Shehzad Ashraf Chaudhry
Mathematics 2025, 13(13), 2143; https://doi.org/10.3390/math13132143 - 30 Jun 2025
Viewed by 280
Abstract
The conventional supply chain management has undergone major advancements following IoT-enabled revolution. The IoT-enabled drones in particular have ignited much recent attention for package delivery in logistics. The service delivery paradigm in logistics has seen a surge in drone-assisted package deliveries and tracking. [...] Read more.
The conventional supply chain management has undergone major advancements following IoT-enabled revolution. The IoT-enabled drones in particular have ignited much recent attention for package delivery in logistics. The service delivery paradigm in logistics has seen a surge in drone-assisted package deliveries and tracking. There have been a lot of recent research proposals on various aspects of last-mile delivery systems for drones in particular. Although drones have largely changed the logistics landscape, there are many concerns regarding security and privacy posed to drones due to their open and vulnerable nature. The security and privacy of involved stakeholders needs to be preserved across the whole chain of Supply Chain Management (SCM) till delivery. Many earlier studies addressed this concern, however with efficiency limitations. We propose a Physical Uncloneable Function (PUF)-based secure authentication protocol (PSL-IoD) using symmetric key operations for reliable last-mile drone delivery in SCM. PSL-IoD ensures mutual authenticity, forward secrecy, and privacy for the stakeholders. Moreover, it is protected from machine learning attacks and drone-related physical capture threats due to embedded PUF installations along with secure design of the protocol. The PSL-IoD is formally analyzed through rigorous security assessments based on the Real-or-Random (RoR) model. The PSL-IoD supports 26.71% of enhanced security traits compared to other comparative studies. The performance evaluation metrics exhibit convincing findings in terms of efficient computation and communication along with enhanced security features, making it viable for practical implementations. Full article
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