SDN & NFV Developments and Advancements in IoT
A special issue of Telecom (ISSN 2673-4001).
Deadline for manuscript submissions: closed (1 October 2021) | Viewed by 1042
Special Issue Editors
Interests: IoT; 5G mobile communication; UAV; quality of service; radio access networks; computer network security; radio networks; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Interests: IoT; 5G and beyond
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The advent of the software-defined networking (SDN) and network virtualization function (NFV) paradigms have converted conventional communication architectures into a new networking era consisting of multiple benefits, such as global visibility and control, improved network management, and dynamic allocation of network resources. Therefore, this new reality will play a leading role in next-generation Internet of Things (IoT) applications, making it possible to minimize the required computing resources and optimize the entire management operation via the separation of forwarding and control planes. However, despite their functional advantages, both SDN and NFV raise security concerns that could lead to devastating consequences. A characteristic example is a possible single point of failure due to the non-availability of an SDN controller. Artificial Intelligence (AI) and especially deep learning (DL) and federated learning (FL) solutions can enhance the operation and resilience of SDN and NFV architectures.
This Special Issue will cover a wide range of research problems related to SDN and NFV. Researchers are invited to submit novel contributions in, but not limited to, the following topics:
- SDN developments and advancements in IoT;
- SDN/NFV orchestration and integration;
- SDN/NFV-based next-generation IoT solutions;
- Novel architectures for hybrid SDN/NFV systems;
- SDN solutions and frameworks for cybersecurity and privacy;
- SDN/NFV-based security functions and services;
- Distributed hybrid SDN controllers and network slicing;
- FL for anomaly and cyberattack detection;
- Orchestration and automatic configuration of security functions;
- DL and FL for 5G-envisioned IoT applications;
- DL and FL architectures for next-generation IoT;
- Applications of DL and FL to manage NFV;
- Anomaly detection in SDN/NFV networks;
- Applications of AI solutions in cybersecurity and privacy.
Prof. Dr. Panagiotis Sarigiannidis
Dr. Thomas Lagkas
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. Telecom is an international peer-reviewed open access quarterly 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 1200 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
- Software-defined networks
- Network virtualization function
- Internet of Things
- Deep learning
- Federated learning
- 5G
- Security
- Privacy
- Artificial Intelligence
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