Cybersecurity and Privacy in Internet-of-Things: Advances, Challenges, and Emerging Trends

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Networks".

Deadline for manuscript submissions: 20 November 2025 | Viewed by 160

Special Issue Editors

Department of Computer Science and Technology, Kean University, Union, NJ 07083, USA
Interests: mobile sensing and computing; cybersecurity and privacy; efficient deep learning

E-Mail Website
Guest Editor
Department of Computer Science and Software Engineering, Monmouth University, West Long Branch, NJ 07764, USA
Interests: machine learning; software engineering; discrete event systems; formal methods; wireless networking; real-time distributed systems
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
1. Information and Control Engineering College, Liaoning Petrochemical University, Fushun 113001, China
2. New Jersey Institute of Technology, Newark, NJ 07102, USA
Interests: deep reinforcement learning; intelligent optimization algorithms; autonomous vehicles; detection model; artificial intelligence; intelligent manufacturing

Special Issue Information

Dear Colleagues,

The rapid proliferation of Internet of Things (IoT) devices has significantly transformed modern industries, smart cities, healthcare, and everyday life. However, this widespread adoption has also introduced critical security and privacy concerns. As IoT networks continue to expand, new threats and vulnerabilities emerge, requiring novel and efficient cybersecurity strategies. Addressing these challenges is essential to ensure the integrity, confidentiality, and availability of IoT ecosystems.

This Special Issue on "Cybersecurity and Privacy in Internet-of-Things: Advances, Challenges, and Emerging Trends" aims to explore state-of-the-art security mechanisms, risk mitigation techniques, and emerging trends in safeguarding IoT devices and networks. We welcome original research and review articles that contribute to advancing security models, cryptographic techniques, privacy-preserving frameworks, and trust mechanisms tailored for IoT environments.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but not limited to) the following:

  • IoT Security Architectures and Threat Models;
  • Lightweight Cryptography and Secure Communication for IoT;
  • Privacy-Preserving Mechanisms in IoT Applications;
  • AI-Driven Cybersecurity for IoT Devices;
  • Blockchain-Based Security Solutions for IoT;
  • Intrusion Detection and Prevention in IoT Networks;
  • Secure Firmware Updates and IoT Device Management;
  • Edge Computing and IoT Security Challenges;
  • Cybersecurity for Industrial IoT (IIoT) and Smart Cities;
  • Trust Management and Access Control in IoT Systems;
  • Machine Learning for IoT Security.

Dr. Bin Hu
Prof. Dr. Jiacun Wang
Dr. Xiwang Guo
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. Electronics 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

  • IoT security
  • lightweight cryptography
  • AI in cybersecurity
  • privacy-preserving IoT
  • blockchain for IoT
  • intrusion detection
  • edge computing security
  • trust management
  • smart city cybersecurity

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

27 pages, 5866 KiB  
Article
Modeling and Analysis in the Industrial Internet with Dual Delay and Nonlinear Infection Rate
by Jun Wang, Jun Tang, Changxin Li, Zhiqiang Ma, Jie Yang and Qiang Fu
Electronics 2025, 14(10), 2058; https://doi.org/10.3390/electronics14102058 - 19 May 2025
Abstract
This study proposes a novel virus propagation model designed explicitly for SCADA(supervisory Control and Data Acquisition) industrial networks. It addresses a critical limitation in existing models applied to the Internet and Industrial Internet of Things (IIoT)—their failure to account for inter-node information exchange [...] Read more.
This study proposes a novel virus propagation model designed explicitly for SCADA(supervisory Control and Data Acquisition) industrial networks. It addresses a critical limitation in existing models applied to the Internet and Industrial Internet of Things (IIoT)—their failure to account for inter-node information exchange processes. The model is inspired by the phenomenon that “immune” nodes in real-world and biological systems inhibit the spread of viruses by exchanging information. This model incorporates isolation strategies to curb virus transmission, considering the uncertainty of vulnerable device behavior. Central to this research are the assumptions of a nonlinear infection rate and dual delays, which better mirror the real-world conditions of industrial control networks. This approach diverges significantly from prior studies that relied on bilinear infection rate assumptions. This study constructed an SMIQR model through theoretical derivation and experimental validation. The model enables nodes to autonomously enhance their defenses after receiving risk information while accounting for the impact of inter-node information exchange. Experiments based on real-world data demonstrated the model’s effectiveness in simulating virus propagation and evaluating defense strategies, overcoming the limitations of traditional bilinear infection rate assumptions. Comparative experiments show that the SMIQR model significantly reduces the number of infected nodes in SCADA industrial networks, demonstrating its superior effectiveness in curbing virus spread. Furthermore, the research proposed dynamic isolation tactics that balance industrial operational continuity, providing SCADA industrial networks with a theoretical framework (incorporating nonlinear infection rates and dual delay characteristics) and practical defense solutions to curb malware spread without disrupting production. Full article
Show Figures

Figure 1

Back to TopTop