Recent Advances in Cybersecurity

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

Deadline for manuscript submissions: 15 August 2026 | Viewed by 577

Special Issue Editors


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Guest Editor
Informatics Department, Polytechnic University of Viseu, 3504-510 Viseu, Portugal
Interests: forensics; audit compliance; cyber security; critical infrastructure protection; IoT; machine learning
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Informatics Department, Polytechnic University of Viseu, 3504-510 Viseu, Portugal
Interests: forensics; audit compliance; cybersecurity; critical infrastructure protection; machine learning
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The increasing number of cyber threats and the growing demands are driving the adoption of advanced cybersecurity approaches to mitigate risks arising from cyberattacks, operational errors, regulatory changes, and organizational policies.

This Special Issue aims to address existing gaps and emerging challenges, providing insights into the next generation of cyber defense strategies. By exploring cutting-edge trends, innovative approaches, and advanced technologies, it seeks to bring together researchers, practitioners, and policymakers to discuss solutions for protecting digital assets.

We welcome contributions from experts across all relevant fields, including original research, case studies, and theoretical discussions, to further the knowledge in cybersecurity.

Prof. Dr. Filipe Caldeira
Prof. Dr. João Pedro Menoita Henriques
Guest Editors

Manuscript Submission Information

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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
  • digital forensics
  • compliance
  • auditing

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Published Papers (1 paper)

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Research

27 pages, 4209 KB  
Article
ViTWGAN: An Improved WGAN and Vision Transformer-Based Model for Intrusion Detection
by Xu Lin, Yanhui Liu, Cuihua Wu, Xiaodan Liang and Menghao Fang
Electronics 2026, 15(8), 1617; https://doi.org/10.3390/electronics15081617 - 13 Apr 2026
Viewed by 246
Abstract
This study proposes ViTWGAN, a novel and effective intrusion detection model designed to enhance data privacy protection by detecting malicious traffic within network flows. By improving the discriminator’s loss function, our approach reduces blind spots in the discriminator by explicitly reinforcing the learning [...] Read more.
This study proposes ViTWGAN, a novel and effective intrusion detection model designed to enhance data privacy protection by detecting malicious traffic within network flows. By improving the discriminator’s loss function, our approach reduces blind spots in the discriminator by explicitly reinforcing the learning of hard negative samples, thereby mitigating the forgetting of negative samples in the generative adversarial network. A Vision Transformer is employed as the backbone architecture for both the generator and the discriminator, while the Wasserstein distance is introduced to prevent mode collapse, enabling the generator to produce diverse normal traffic and consequently improving the discriminator’s detection capability. Extensive experiments on the NSL-KDD and CIC-DDoS2019 datasets demonstrate the superior performance of the proposed model, achieving accuracy rates of 96.45% and 99.37%, respectively. These results highlight the effectiveness of ViTWGAN as a high-performance solution for general intrusion detection systems. Full article
(This article belongs to the Special Issue Recent Advances in Cybersecurity)
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