Network Information Theory and Its Applications in Security and Privacy
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: closed (31 March 2024) | Viewed by 1432
Special Issue Editors
Interests: information theory and its applications
Interests: information theory; coding theory; combinatorics
Interests: computer security; cyber security; privacy; information security; cryptography; intrusion detection; malware; trust; anonymity
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue aims to explore cutting-edge advancements in Network Information Theory and its applications in the domains of security and privacy. Network information theory deals with the fundamental principles of information flow and communication within networks. In the context of security and privacy, it explores how information theory concepts can be employed to enhance the confidentiality, integrity, and availability of data transmission and storage.
This Special Issue seeks to give an overview of the theoretical foundations, practical techniques, and novel applications of network information theory in the fields of security and privacy. It aims to address the challenges and opportunities that arise in various applications, such as wireless networks, Internet of Things (IoT), social networks, and cloud computing and distributed data storage.
This Special Issue will publish high-quality, original research papers dealing with overlapping topics such as:
- Security and privacy in data transmission and storage;
- Privacy-preserving protocols in large-scale networks;
- Secure and reliable cloud computing;
- Network information theory applications in wireless communications, Internet of Things (IoT), and cyber-physical systems;
- Post-quantum cryptography and its impact on secure communication networks;
- Machine learning and artificial intelligence techniques for enhancing security and privacy in networks.
Researchers working in the fields of network information theory, security, and privacy are encouraged to submit their original research papers. The aim is to foster the dissemination of knowledge, exchange of ideas, and advancement of solutions that harness the power of network information theory for improving security and privacy.
Dr. Stanislav Kruglik
Dr. Ilya Vorobyev
Dr. Luis Javier García Villalba
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
- network information theory
- security and privacy
- wireless communications
- cyber-physical systems
- Internet of Things
- distributed storage systems
- machine learning and artificial intelligence
- cloud computing
