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Application of IoT and Cybersecurity Technologies
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Application of IoT and Cybersecurity Technologies

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Electrical, Electronics and Communications Engineering".

Deadline for manuscript submissions: 20 May 2025 | Viewed by 7228

Special Issue Editors

Dr. Masoud Barati

E-Mail Website
Guest Editor
School of Information Technology, Carleton University, 1125 Colonel By Dr, Ottawa, ON K1S5B6, Canada
Interests: distributed systems; cybersecurity; blockchain and smart contracts; formal methods and verification; semantics and ontology; service discovery and composition
Dr. Nafiseh Kahani

E-Mail Website
Guest Editor
Systems and Computer Engineering, Carleton University, 1125 Colonel By Dr, Ottawa, ON K1S5B6, Canada
Interests: model-driven development; applications of machine learning to software engineering; software testing; software security

Special Issue Information

Dear Colleagues,

The Internet of Things (IoT) has revolutionized the way we interact with our surroundings by connecting everyday objects to the internet, enabling seamless communication and automation. However, the proliferation of IoT devices has introduced unprecedented cybersecurity challenges, as these devices often lack security measures. This Special Issue aims to explore the intersection of IoT and cybersecurity, highlighting the various threats facing IoT ecosystems and proposing innovative solutions to mitigate these risks. Topics covered include, but are not limited to, the following:

  1. Vulnerability assessment and threat modeling for IoT devices and networks.
  2. Authentication and access control mechanisms tailored for IoT environments.
  3. Encryption techniques for securing data transmitted between IoT devices and cloud servers.
  4. Intrusion detection and prevention systems for IoT networks.
  5. Privacy-preserving methods for handling sensitive data collected by IoT devices.
  6. Standardization efforts and regulatory frameworks to enhance IoT security.
  7. Case studies and real-world implementations showcasing effective cybersecurity measures in IoT deployments.

Researchers and practitioners are invited to submit original research articles, reviews, and case studies that advance the state of the art in IoT cybersecurity. By addressing these critical issues, this Special Issue aims to foster a deeper understanding of the challenges and opportunities in securing the Internet of Things, paving the way for a more resilient and trustworthy IoT ecosystem.

Dr. Masoud Barati
Dr. Nafiseh Kahani
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. Applied Sciences 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
  • cybersecurity
  • IoT networks
  • IoT devices
  • intrusion detection

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Published Papers (4 papers)

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Research

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37 pages, 849 KiB  
Article
Comprehensive Study of IoT Vulnerabilities and Countermeasures
by Ian Coston, Eadan Plotnizky and Mehrdad Nojoumian
Appl. Sci. 2025, 15(6), 3036; https://doi.org/10.3390/app15063036 - 11 Mar 2025
Viewed by 1450
Abstract
This comprehensive study provides an in-depth examination of the Internet of Things (IoT), which refers to the interconnection of multiple devices through various wireless protocols that facilitate data transfer and improve operational intelligence. IoT is widely used in numerous fields, including urban infrastructure, [...] Read more.
This comprehensive study provides an in-depth examination of the Internet of Things (IoT), which refers to the interconnection of multiple devices through various wireless protocols that facilitate data transfer and improve operational intelligence. IoT is widely used in numerous fields, including urban infrastructure, domestic settings, transportation systems, military operations, healthcare, and agriculture. However, with its growing prevalence comes a significant increase in security risks across multiple layers, such as hardware, software, cloud infrastructure, and networks. This study categorizes these vulnerabilities and explores how adversaries can exploit weaknesses to compromise IoT systems. In doing so, it highlights the risks associated with unauthorized access, data breaches, and system manipulation, all of which pose a direct threat to confidentiality, integrity, and availability. To address these concerns, this paper examines various mitigation strategies that aim to enhance IoT security by reducing attack surfaces, improving authentication methods, and securing communication protocols. By systematically analyzing existing vulnerabilities and countermeasures, this research contributes to the ongoing effort to fortify IoT devices and infrastructure against current and emerging threats. Through this study, we seek to advance the discussion on securing IoT environments while emphasizing the importance of proactive security measures in this rapidly evolving landscape. Full article
(This article belongs to the Special Issue Application of IoT and Cybersecurity Technologies)
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31 pages, 1918 KiB  
Article
Threat Analysis and Risk Assessment (TARA) Analysis of an Autonomous Emergency Braking (AEB) System
by Umberto Della Monica, Kimberly-Annalena Munjal, Mark Paul Tamas, Biagio Boi, Christian Esposito and Rahamatullah Khondoker
Appl. Sci. 2025, 15(3), 1400; https://doi.org/10.3390/app15031400 - 29 Jan 2025
Viewed by 1857
Abstract
To ensure security and stable quality, deeper cybersecurity evaluations are essential for the development of safety features and functionalities in vehicles. Among these, the AEB system is the most relevant. This research presents a comprehensive TARA of the AEB system, emphasizing the identification, [...] Read more.
To ensure security and stable quality, deeper cybersecurity evaluations are essential for the development of safety features and functionalities in vehicles. Among these, the AEB system is the most relevant. This research presents a comprehensive TARA of the AEB system, emphasizing the identification, validation, and mitigation of major cybersecurity threats and risks. We systematically examine potential attack vectors by utilizing the STRIDE threat model. This approach enables a detailed analysis of each security threat associated with AEB systems, providing insights into how malicious actors could use the attack paths. The assessment aligns with ISO/SAE 21434, which offers a robust framework for risk management in automotive cybersecurity and IT security, ensuring a thorough evaluation of a system’s architecture. By assessing the AEB system’s architecture against these standards, we identify key components and communication pathways that may be particularly prone to cyberattacks. The results of this analysis highlight critical flaws within the AEB framework and propose corrective measures to enhance cybersecurity resilience. This article provides a structured methodology for assessing and mitigating automotive cybersecurity risks in compliance with industry standards, aiming to facilitate the safe implementation of AEB technology and ultimately improve overall vehicle security and safety. Full article
(This article belongs to the Special Issue Application of IoT and Cybersecurity Technologies)
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16 pages, 1005 KiB  
Article
Multiscale Sieve for Smart Prime Generation and Application in Info-Security, IoT and Blockchain
by Gerardo Iovane, Elmo Benedetto and Carmine Gallo
Appl. Sci. 2024, 14(19), 8983; https://doi.org/10.3390/app14198983 - 5 Oct 2024
Cited by 1 | Viewed by 2339
Abstract
The huge computational cost required to test whether a number is prime and the inefficiency of the known sieving algorithms for extremely large inputs have posed significant challenges in computational number theory. Traditional deterministic prime generation methods struggle to maintain performance when the [...] Read more.
The huge computational cost required to test whether a number is prime and the inefficiency of the known sieving algorithms for extremely large inputs have posed significant challenges in computational number theory. Traditional deterministic prime generation methods struggle to maintain performance when the input sizes increase exponentially. In this work, we show that, through multiscale distribution and deterministic prime number generation, it is possible to create a multiscale sieve with drastically better performance than the deterministic algorithms known to date, providing a more efficient solution for large-scale prime number generation, demonstrated by several benchmarks that highlight the potential of our approach. Consequently, we can gain some advantages in cryptography and in info-security, such as in IoT and blockchain environments. Full article
(This article belongs to the Special Issue Application of IoT and Cybersecurity Technologies)
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Review

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25 pages, 932 KiB  
Review
Internet of Things-Based Healthcare Systems: An Overview of Privacy-Preserving Mechanisms
by Reem Nabha, Anis Laouiti and Abed Ellatif Samhat
Appl. Sci. 2025, 15(7), 3629; https://doi.org/10.3390/app15073629 - 26 Mar 2025
Viewed by 550
Abstract
The integration of the IoT into healthcare opens new horizons while introducing ethical and legal challenges to preserving patients’ privacy. This paper provides a comprehensive review of privacy-preserving mechanisms in IoT-based healthcare systems, analyzing key challenges such as secure data transmission, decentralized processing, [...] Read more.
The integration of the IoT into healthcare opens new horizons while introducing ethical and legal challenges to preserving patients’ privacy. This paper provides a comprehensive review of privacy-preserving mechanisms in IoT-based healthcare systems, analyzing key challenges such as secure data transmission, decentralized processing, privacy-preserving analytics, and user-centric control. We classify existing privacy solutions into a structured comparative framework, highlighting their integration strategies, security measures, and technical implementations in scalable architectures. Additionally, we discuss emerging trends and open research challenges that require further exploration. This study is a valuable reference for researchers, practitioners, and policymakers seeking to develop and enhance privacy-preserving solutions in IoT-based healthcare environments. Full article
(This article belongs to the Special Issue Application of IoT and Cybersecurity Technologies)
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