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Advanced Cybersecurity and Privacy-Enhancing Technologies

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 March 2025 | Viewed by 1197

Special Issue Editor


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Guest Editor
School of Computer Science and Informatics, De Montfort University, The Gateway, Leicester LE1 9BH, UK
Interests: cryptographic protocols; privacy; zero-knowledge proofs; homomorphic encryption; threshold cryptography; secure multi-party computation; pairing-based cryptography; PKI; blockchain and cryptocurrencies; multiparty threshold ECDSA for hot and cold wallets
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Privacy-Enhancing Technologies (PETs) represent a critical class of digital tools designed to protect and enhance user privacy by applying established privacy principles during the collection, processing, analysis, and sharing of information. These technologies are essential for protecting the confidentiality and privacy of personal data, ensuring compliance with internationally recognized privacy standards and legal frameworks, such as the OECD Privacy Guidelines and the General Data Protection Regulation (GDPR). A key principle underpinning many PETs is data minimization, which promotes the reduction in or elimination of personally identifiable information in data collection processes, thereby reducing privacy risks. PETs include a range of cryptographic protocols and techniques, including encryption, hashing, digital signatures, threshold cryptography, multi-party computation, homomorphic encryption, zero-knowledge proofs, and other advanced methods. These technologies aim to provide anonymity, pseudonymity, and unobservability for users and data subjects, addressing the inherent risks associated with data usage while maximizing its utility.

This Special Issue seeks to explore and advance novel security and cryptographic systems and architectures addressing the current challenges in the PET field. We invite contributions that push the boundaries of the state of the art, focusing on innovative solutions enhancing the privacy, security, and usability of data in the digital age. The topics of interest include, but are not limited to, the development and application of PETs across various domains, with a particular emphasis on cryptographic advancements and their practical implementations.

Dr. Mehmet Sabir Kiraz
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

  • cybersecurity
  • Privacy-Enhancing Technologies (PETs)
  • cryptographic protocols

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Published Papers (1 paper)

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Review

32 pages, 893 KiB  
Review
Privacy and Security in Digital Health Contact-Tracing: A Narrative Review
by Shehani Pigera, Paul van Schaik, Karen Renaud, Miglena Campbell, Petra Manley and Pierre Esser
Appl. Sci. 2025, 15(2), 865; https://doi.org/10.3390/app15020865 - 16 Jan 2025
Viewed by 857
Abstract
(1) Background: Contact-tracing apps only achieve their aims if the majority of the population installs and actively engages with them. Such acceptance depends on public perceptions and are likely influenced by privacy and security concerns. Therefore, this review evaluates public perceptions towards the [...] Read more.
(1) Background: Contact-tracing apps only achieve their aims if the majority of the population installs and actively engages with them. Such acceptance depends on public perceptions and are likely influenced by privacy and security concerns. Therefore, this review evaluates public perceptions towards the privacy and security of contact-tracing apps used during the recent COVID-19 pandemic, with a focus on identifying factors that influence acceptance. (2) Methods: A systematic literature review was performed. A total of 114 articles were retained as per the inclusion criteria, which included quantitative, qualitative, and mixed-methods studies. The data were analysed using thematic analysis. (3) Results: Eight main themes were derived: privacy, data protection and control, trust, technical issues, perceived benefit, knowledge and awareness, social influence, and psychological factors. (4) Conclusions: Improving privacy standards and the awareness of the digital contact-tracing process will encourage the acceptance of contact-tracing apps. Full article
(This article belongs to the Special Issue Advanced Cybersecurity and Privacy-Enhancing Technologies)
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<p>PRISMA flow diagram.</p>
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<p>Themes derived from paper corpus.</p>
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