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Electronics
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New Technologies for Cybersecurity
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New Technologies for Cybersecurity

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".

Deadline for manuscript submissions: 15 April 2026 | Viewed by 5787

Special Issue Editors

Dr. Huaqun Guo

E-Mail Website
Guest Editor
Infocomm Technology Cluster, Singapore Institute of Technology, Singapore 138683, Singapore
Interests: network security; OT security; artificial intelligence for cyber security; ISO/IEC 27001 and security risk analysis; blockchain; vehicular networks and security; communications
Dr. Eyasu Getahun Chekole

E-Mail Website
Guest Editor
Information Systems Technology and Design, Singapore University of Technology and Design, Singapore 487372, Singapore
Interests: applied cryptography; biometric; multi-factor security; decentralized identity; software and system security; memory safety and resilience; OT (ICS/CPS) security; Internet of Things/Industrial Internet of Things security; machine learning/artificial intelligence-driven security; blockchain; privacy-preserving approaches

Special Issue Information

Dear Colleagues,

This Special Issue, ‘New Technologies for Cybersecurity’, aims to provide a platform for researchers and practitioners from academia and industry to showcase the latest advancements in cybersecurity technologies. The growing prevalence of sophisticated and evolving attack techniques poses significant concerns to the digital community. To address these challenges, designing new cybersecurity solutions is imperative. Therefore, the primary objective of this Special Issue is to foster and promote the development of cutting-edge technologies and methodologies across diverse areas of cybersecurity.

For this Special Issue, we invite submissions that present theoretical frameworks or practical solutions to tackle a wide array of security threats and challenges. Contributions may include new technologies, methods, approaches, and architectures that address one or more pressing cybersecurity issues.

Dr. Huaqun Guo
Dr. Eyasu Getahun Chekole
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 250 words) can be sent to the Editorial Office for assessment.

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

  • cybersecurity
  • security technologies
  • security tools
  • security analysis
  • authentication
  • authorization
  • integrity
  • confidentiality
  • privacy
  • machine learning-driven security

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

Published Papers (5 papers)

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Research

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38 pages, 3950 KB  
Article
Investigating Post-Quantum Cryptography to Secure Transmitted Data via Mobile Communication
by Rongjie Zhou, Huaqun Guo and Francis Ee Cheok Teo
Electronics 2026, 15(6), 1275; https://doi.org/10.3390/electronics15061275 - 18 Mar 2026
Abstract
The advent of quantum computing poses significant challenges to traditional cryptographic systems, threatening the confidentiality, integrity and authenticity of digital communications. This paper investigates the integration of post-quantum cryptography (PQC) algorithms into mobile communication systems to address these challenges. The study focuses on [...] Read more.
The advent of quantum computing poses significant challenges to traditional cryptographic systems, threatening the confidentiality, integrity and authenticity of digital communications. This paper investigates the integration of post-quantum cryptography (PQC) algorithms into mobile communication systems to address these challenges. The study focuses on evaluating key PQC algorithms shortlisted by the National Institute of Standards and Technology (NIST), including CRYSTALS-Kyber, CRYSTALS-Dilithium, Falcon and SPHINCS+, within the context of 5G and future mobile network architectures. The research encompasses the design and implementation of an experimental framework involving mobile devices, servers, and cloud-based infrastructure to simulate real-world communication scenarios. Performance metrics such as key generation time, signature generation, encryption and decryption speed, and resource consumption were analyzed across various devices to identify algorithms suitable for mobile environments. The findings reveal that lattice-based algorithms, such as Kyber and Dilithium, offer a promising balance between security and efficiency, making them ideal for resource-constrained devices. In contrast, hash-based algorithms like SPHINCS+ exhibit higher computational demands, limiting their practicality in certain applications. This work highlights the importance of algorithm selection and hardware optimization in ensuring secure and efficient communications in the quantum era. By integrating theoretical advancements in PQC with practical applications, this research lays the foundation for quantum-resistant security in mobile networks, ensuring secure and future-ready digital communications. Full article
(This article belongs to the Special Issue New Technologies for Cybersecurity)
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20 pages, 4393 KB  
Article
Enhancing the Detection of Cyber-Attacks to EV Charging Infrastructures Through AI Technologies
by Roberta Terruggia, Alberto Maldarella, Giovanna Dondossola and Gabriele Webber
Electronics 2025, 14(21), 4321; https://doi.org/10.3390/electronics14214321 - 4 Nov 2025
Cited by 1 | Viewed by 1396
Abstract
The increasing digitalization of energy infrastructures, particularly electric vehicle (EV) charging systems, has expanded their vulnerability to cyber threats. This paper presents a modular AI-driven platform for detecting attacks on EV charging infrastructures. The platform combines real-time data collection tools (Tshark, Nozomi Guardian, [...] Read more.
The increasing digitalization of energy infrastructures, particularly electric vehicle (EV) charging systems, has expanded their vulnerability to cyber threats. This paper presents a modular AI-driven platform for detecting attacks on EV charging infrastructures. The platform combines real-time data collection tools (Tshark, Nozomi Guardian, SNMP/Syslog, Elasticsearch Logstash and Kibana (ELK)) with Long Short-Term Memory (LSTM) Autoencoder-based anomaly detection. Data were gathered from a charging facility at RSE with twelve OCPP-J v1.6 charging stations, including normal and simulated Denial of Service (DoS) scenarios. The model, trained on multivariate time-series traffic data, achieved 97.1% Accuracy and 98.6% Recall, ensuring robust anomaly detection and minimizing false negatives. Although Precision was lower (52%) due to traffic variability, the system effectively detected both cyber-induced and operational anomalies, such as station disconnections. This work demonstrates the value of integrating deep learning with real-time monitoring to enhance the resilience of smart energy systems. Future developments will focus on improving precision, expanding protocol coverage, and addressing advanced threats such as data injection and Man-in-the-Middle attacks. Full article
(This article belongs to the Special Issue New Technologies for Cybersecurity)
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18 pages, 2103 KB  
Article
Towards a Unified Quantum Risk Assessment
by Šarūnas Grigaliūnas and Rasa Brūzgienė
Electronics 2025, 14(17), 3338; https://doi.org/10.3390/electronics14173338 - 22 Aug 2025
Cited by 1 | Viewed by 2085
Abstract
Quantum computing poses an unprecedented threat to classical cryptography, requiring new risk assessment paradigms. This paper proposes a Quantum-Adjusted Risk Score (QARS) model, a theoretical and methodological innovation within the EU’s PAREK framework (Post-quantum asset and algorithm inventory, risk assessment, road mapping, execution, [...] Read more.
Quantum computing poses an unprecedented threat to classical cryptography, requiring new risk assessment paradigms. This paper proposes a Quantum-Adjusted Risk Score (QARS) model, a theoretical and methodological innovation within the EU’s PAREK framework (Post-quantum asset and algorithm inventory, risk assessment, road mapping, execution, key governance). QARS extends Mosca’s inequality—which defines a quantum threat timeline threshold—into a multi-factor risk scoring formula. We formalise QARS with mathematical expressions incorporating timeline, sensitivity, and exposure dimensions, each calibrated by factor weights and scaling functions. The design motivations for including these dimensions are discussed in depth. We present method for model calibration (including sector-specific weight adjustments) and outline validation strategies combining quantitative analysis and expert judgement. The proposed QARS model is situated in the context of the EU’s coordinated roadmap for post-quantum cryptography and cybersecurity regulations, illustrating how QARS supports compliance and strategic migration prioritisation. A prototype tool implementing QARS model is also provided to demonstrate practical applicability. Our contributions provide a unified approach to quantum risk assessment, marrying theoretical rigour with policy-relevant risk management needs to help organizations proactively address the quantum threat. Full article
(This article belongs to the Special Issue New Technologies for Cybersecurity)
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18 pages, 3949 KB  
Article
Frequency-Domain Steganography with Hexagonal Tessellation for Vision–Linguistic Knowledge Encapsulation
by Hengxiao Chi, Ching-Chun Chang, Chin-Chen Chang and Jui-Chuan Liu
Electronics 2025, 14(7), 1379; https://doi.org/10.3390/electronics14071379 - 29 Mar 2025
Viewed by 890
Abstract
With the rapid development of technologies such as vision–language modeling, sharing images with corresponding descriptions has become a common means of information transfer. Studying data-hiding techniques for JPEG images can protect sensitive descriptions, such as personal information associated with them while sharing images. [...] Read more.
With the rapid development of technologies such as vision–language modeling, sharing images with corresponding descriptions has become a common means of information transfer. Studying data-hiding techniques for JPEG images can protect sensitive descriptions, such as personal information associated with them while sharing images. Therefore, research on data-hiding techniques for JPEG images is of significant importance. However, existing methods that modify discrete cosine transform (DCT) coefficients still have room for improvement in increasing their embedding capacity while minimizing file size expansion. To address this issue, this paper proposes a knowledge encapsulation method for JPEG images using a special hexagonal tessellation matrix. First, a special hexagonal tessellation matrix is constructed based on the characteristics of non-zero AC coefficients. Then, non-zero AC coefficients in JPEG images are paired to form coordinate pairs, and the data are embedded by modifying the non-zero AC coefficient pairs into the coordinates corresponding to the secret data. Experimental results demonstrate that, compared to the previously proposed JPEG image data-hiding schemes, the proposed approach achieves a higher embedding capacity, a minimal file size increase (FSI), and an acceptable peak signal-to-noise ratio (PSNR). Full article
(This article belongs to the Special Issue New Technologies for Cybersecurity)
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Review

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23 pages, 515 KB  
Review
Cybersecurity of Unmanned Aerial Vehicles from a Control Systems Perspective: A Review
by Ben Graziano and Arman Sargolzaei
Electronics 2026, 15(1), 163; https://doi.org/10.3390/electronics15010163 - 29 Dec 2025
Viewed by 655
Abstract
Unmanned aerial vehicles (UAVs) are widely utilized for environmental monitoring, precision agriculture, infrastructure inspection, and various defense missions, including reconnaissance and surveillance. Their cybersecurity is essential because any compromise of communication, navigation, or control systems can cause mission failure and introduce significant safety [...] Read more.
Unmanned aerial vehicles (UAVs) are widely utilized for environmental monitoring, precision agriculture, infrastructure inspection, and various defense missions, including reconnaissance and surveillance. Their cybersecurity is essential because any compromise of communication, navigation, or control systems can cause mission failure and introduce significant safety and security risks. Therefore, this paper examines the existing literature on UAV cybersecurity and highlights that most previous surveys focus on listing different types of attacks or communication weaknesses, rather than evaluating the problem from a control systems perspective. Considering control systems is important because the safety and performance of a UAV depend on how cyberattacks affect its sensing, decision-making, and actuation loops; modeling these attacks and their impact on system behavior provides a clearer foundation for designing secure, resilient, and stable control strategies. Based on a comprehensive review of the literature, it presents a mathematical framework for characterizing common cyberattacks on UAV communication and sensing layers, including time-delay switch, false data injection, denial of service, and replay attacks. To demonstrate the impacts of these attacks on UAV control systems, a simulation of a two-UAV leader-follower multi-agent system is conducted in MATLAB. Defense algorithms from the existing literature are then organized into a hierarchical framework of prevention, detection, and mitigation, with detection and mitigation further categorized into model-based, learning-based, and hybrid approaches that combine both. The paper concludes by summarizing key findings and highlighting challenges with current defense strategies, including those insufficiently addressed in existing research. Full article
(This article belongs to the Special Issue New Technologies for Cybersecurity)
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