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Advances in Cyber Security

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".

Deadline for manuscript submissions: 30 October 2025 | Viewed by 1288

Special Issue Editors


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Guest Editor
Faculty of Computer Systems and Technologies, Technical University of Sofia, Sofia, Bulgaria
Interests: network security; information security; cyber security; computer networks

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Guest Editor
Faculty of Telecomunications, Technical University of Sofia, Sofia, Bulgaria
Interests: reliability technique and systems; standards, protocols, analysis and implementation of security protection models against unauthorized access; reliability and security in communications; cyber security
School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University (NPU), Xi'an 710072, China
Interests: deep learning; artifical intelligent security; complex network; multi-modal data analysis
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
1. Department of Software Convergence, Gyeongkuk National University, 1375 Gyeongdong-ro, Andong-si 36729, Gyeongsangbuk-do, Republic of Korea
2. Department of Software Convergence, Andong National University, 1375 Gyeongdong-ro, Andong-si 36729, Gyeongsangbuk-do, Republic of Korea
Interests: information hiding; image security; visual symmetry; hybrid steganography; right-most digit replacement
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The increasing sophistication of cyberattacks presents major challenges to individuals, businesses, and governments. As digital threats continue to evolve, there is an urgent need for innovative cybersecurity solutions to protect critical infrastructure and sensitive data. This Special Issue focuses on cutting-edge advancements in cybersecurity, aiming to explore new research, technologies, and strategies that enhance digital security and resilience.

We invite submissions that address emerging cybersecurity challenges across a range of topics, including, but not limited to, advanced threat detection, cyber defense strategies, secure communications, cryptography, digital forensics, and the role of artificial intelligence and machine learning in cybersecurity. Contributions focused on securing Internet of Things (IoT) devices and cloud infrastructure, as well as combating cybercrime, are also highly encouraged.

This Special Issue seeks original research articles, case studies, and experimental work that present innovative solutions to real-world cybersecurity problems. All submissions will undergo a thorough peer review process, ensuring the highest standards of quality and relevance. We look forward to contributions that push the boundaries of cybersecurity and offer practical solutions to the current challenges in the digital age.

Dr. Georgi R. Tsochev
Dr. Maria Nenova
Dr. Peican Zhu
Prof. Dr. Ki-Hyun Jung
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

  • cybersecurity
  • threat detection
  • cryptography
  • digital forensics
  • cyber defense
  • artificial intelligence in security
  • Internet of Things (IoT) security
  • cloud security
  • cybercrime
  • data privacy

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Published Papers (1 paper)

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Research

20 pages, 5099 KiB  
Article
Optimizing Activation Function for Parameter Reduction in CNNs on CIFAR-10 and CINIC-10
by Vasil Vasilev, Vasil Shterev and Maria Nenova
Appl. Sci. 2025, 15(8), 4292; https://doi.org/10.3390/app15084292 - 13 Apr 2025
Viewed by 620
Abstract
This paper explores a simple CNN architecture used for image classification. Since the first introduction of the CNN idea, LeNet5, CNNs have become the main method for image exploration. A previously unexplored activation function is proposed, which improves the accuracy on one hand, [...] Read more.
This paper explores a simple CNN architecture used for image classification. Since the first introduction of the CNN idea, LeNet5, CNNs have become the main method for image exploration. A previously unexplored activation function is proposed, which improves the accuracy on one hand, while reducing the execution time. The other positive side is the faster convergence of the loss function. Unlike other well-known activation functions, such as ReLU, Tanh, and others, Exponential Partial Unit (EPU) does not overfit after 100 or more iterations. For this study, the CIFAR-10 dataset is chosen, which is a benchmark for this kind of research. This paper aims to present another view on CNNs, showing that effective networks can be trained with fewer parameters and reduced computational resources. Full article
(This article belongs to the Special Issue Advances in Cyber Security)
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