Cybersecurity and Data Protection: Modern Methods and New Applications
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E1: Mathematics and Computer Science".
Deadline for manuscript submissions: 20 September 2025 | Viewed by 387
Special Issue Editors
Interests: network security; railway security; security and safety; quantum communication; encryption schemes; performance engineering
Special Issue Information
Dear Colleagues,
We are pleased to announce this Special Issue of the journal Mathematics entitled “Cybersecurity and Data Protection: Modern Methods and New Applications”. This initiative focuses on advances in mathematical research and practical applications in cybersecurity and data protection, which have been attracting growing interest due to their critical role in addressing contemporary cyber threats. Recent developments in applied mathematics have significantly contributed to enhancing the security and resilience of systems across various domains, including finance, healthcare, critical infrastructure, communication networks, and information systems. A wide range of complex challenges have been effectively tackled, such as cryptographic algorithm design, threat detection, risk assessment, secure data sharing, privacy preservation, and the optimization of security protocols.
This Special Issue invites high-quality original research or review papers on modern methods and new applications in cybersecurity and data protection to address the practical challenges in the related areas. The topics of interest include, but are not limited to, the following list:
- Cryptographic Methods Development of novel encryption algorithms
- Threat Detection and Prevention Mathematical models for identifying malware and phishing attacks
- Privacy Preservation Differential privacy and its applications
- Risk Assessment and Management Quantitative risk assessment models
- Secure Data Sharing and Storage Methods for ensuring data integrity and confidentiality
- Optimization of Security Protocols Game theory applications in cybersecurity
- Artificial Intelligence in Cybersecurity Machine learning models for cyber threat intelligence
- Mathematical Foundations of Cybersecurity Theoretical analysis of security models
- Applications in Industry Cybersecurity challenges in IoT and smart devices
- Emerging Areas and Trends Quantum computing implications for cybersecurity.
Prof. Dr. Lukas Iffländer
Guest Editor
Thomas Prantl
Guest Editor Assistant
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. Mathematics 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 2600 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
- advances in post-quantum cryptography
- secure key generation and distribution techniques
- intrusion detection systems using advanced analytics
- anomaly detection in large-scale networks
- secure multiparty computation techniques
- homomorphic encryption for secure data processing
- vulnerability analysis frameworks
- optimization of risk mitigation strategies
- methods for secure cloud storage
- secure sharing protocols for big data applications
- resource optimization in security systems
- benchmarking of security system performance
- deep learning techniques for real-time threat detection
- explainable AI in cybersecurity applications
- graph theory and network security applications
- chaos theory in cryptographic systems
- securing critical infrastructure systems
- data protection in healthcare and financial services
- cyber-physical systems security
- ethical and legal considerations in data protection
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