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New Advances in Computer Security and Cybersecurity

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

Deadline for manuscript submissions: 20 November 2024 | Viewed by 1160

Special Issue Editor


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Guest Editor
1. Department of Informatics and Media, Technische Hochschule Brandenburg, Magdeburger Str. 50, D-14770 Brandenburg, Germany
2. Berlin School of Technology, SRH Berlin Applied University of Technology, Ernst-Reuter-Platz 10, D-10587 Berlin, Germany
Interests: cybersecurity

Special Issue Information

Dear Colleagues,

Recent advances in cybersecurity have significantly enhanced protection mechanisms against cyber threats. This Special Issue in the MDPI Journal of Applied Sciences delves into cutting-edge research and innovative practices across various computer security and cybersecurity aspects. A key focus is enhancing cyber resilience, which aims to fortify systems against attacks and ensure swift recovery from breaches. Furthermore, open-source intelligence (OSINT) is now essential for preemptive threat detection and strategic security planning.

The protection of critical infrastructure is a top priority, as vulnerabilities in these systems can cause severe economic and social consequences. This Special Issue's articles present robust strategies for shielding such infrastructures from sophisticated cyber-attacks. Furthermore, the integration of cybersecurity measures within cyber–physical systems is highlighted, underscoring the importance of securing the interconnected elements that manage physical processes through computer-based algorithms.

The journal's convergence of these themes results in a comprehensive overview of current trends and future directions in the field of computer security. This collection of research provides deep insights into technological advancements and discusses the broader implications of these developments for society and policy-making.

Dr. Reiner Creutzburg
Guest Editor

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

  • cyber security
  • computer security
  • cyber resilience
  • open-source intelligence (OSINT)
  • critical infrastructure protection
  • cyber–physical systems
  • secure communications and cryptography

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Published Papers (1 paper)

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Research

13 pages, 1300 KiB  
Article
PEDRO: Privacy-Enhancing Decision suppoRt tOol
by Paul van Schaik and Karen Renaud
Appl. Sci. 2024, 14(20), 9275; https://doi.org/10.3390/app14209275 - 11 Oct 2024
Viewed by 471
Abstract
Citizens face online privacy threats from social media, online service providers and governments. Privacy-enhancing tools (PETs) can prevent privacy invasion, but the uptake of these is limited. We developed a novel conceptual framework for privacy self-protection, consisting of a classification framework of four [...] Read more.
Citizens face online privacy threats from social media, online service providers and governments. Privacy-enhancing tools (PETs) can prevent privacy invasion, but the uptake of these is limited. We developed a novel conceptual framework for privacy self-protection, consisting of a classification framework of four distinct privacy threats and our own novel staged model of PET adoption requisites. Through an expert survey (N = 12) and a lay user survey (N = 500), we identified suitable PETs for non-expert users and identified potential barriers to PET adoption. Based on the studies and our theoretical framework, we then developed and implemented a PET decision support tool called PEDRO, and conducted expert evaluations (N = 10) to confirm the validity of its recommendations. Full article
(This article belongs to the Special Issue New Advances in Computer Security and Cybersecurity)
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