Decision Making for Network Security and Privacy
A special issue of Games (ISSN 2073-4336).
Deadline for manuscript submissions: closed (30 April 2017) | Viewed by 22166
Special Issue Editor
2 Department of Computer Science and Engineering, Chalmers University of Technology, SE-412 96, Gothenburg, Sweden
Interests: decision theory; reinforcement learning; statistical inference and optimisation; privacy and security
Special Issue Information
Dear Colleagues,
Network security and privacy is an important application area, which has inspired a great deal of research in decision theory, statistics, and machine learning. Recent algorithmic and theoretical advances mean that is now possible to employ principled approaches for solving complex decision and estimation problems, such as those encountered in networked systems. Algorithms in the physical, network, and application layer, must take into account the possibility of malicious or honest-but-curious participants, as well as adapt to changing network conditions and system failures.
This Special Issue invites principled research papers on topics at the intersection of network security and privacy on the one hand, and decision theory, machine learning, and statistics on the other. We invite inter-disciplinary papers within this area. Sample topics include: secure multi-party computation, learning in games, network monitoring, intrusion detection and response, privacy-preserving learning and decision-making, differential privacy, and cryptography. However, all submissions must have a clear relevance, or application potential, to network security and privacy.
Dr. Christos Dimitrakakis
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. Games 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 1600 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 security and privacy
- decision theory
- secure multi-party computation
- network monitoring
- privacy-preserving learning and decision making
- differential privacy
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue polices can be found here.