Addressing Security and Privacy Concerns for Drones in Networks beyond 5G
A special issue of Drones (ISSN 2504-446X). This special issue belongs to the section "Drone Communications".
Deadline for manuscript submissions: closed (31 January 2024) | Viewed by 5795
Special Issue Editors
Interests: IoT; 5G; blockchain; machine learning; UAVs; wireless communication
Special Issues, Collections and Topics in MDPI journals
Interests: QoS; security; wireless networks; high-speed networks
Special Issues, Collections and Topics in MDPI journals
Interests: optical wireless communication; intelligent reflecting surfaces; unmanned aerial vehicles; NOMA; WPT; IoUT; 5G/6G
Special Issues, Collections and Topics in MDPI journals
Interests: cryptography; Internet of Things; authentication; authenticated encryption; blockchains; 6G communication
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Networks beyond 5G (B5G) include the automation and intelligence of drones, as well as strategies for capacity expansion to address the massive connectivity problems and provide ultra-high throughput and low latency. On the other hand, security and privacy threats have always been a concern with drones. This is due to the absence of security and privacy considerations in the drone’s design, including unsecured wireless channels and an inadequate computation capability to execute advanced cryptographic algorithms. Due to the large real-time applications of drones and the omnipresence of wireless connectivity in B5G networks, advanced security measures are necessary to prevent unauthorized access to critical data. Similarly, while designing security protocols for drones in B5G networks, high scalability, device diversity, and high mobility should be considered. As B5G networks will integrate AI and edge AI-based capabilities for drones, it is also essential to include security measures against AI-related attacks. Keeping in mind the above security and privacy considerations, this Special Issue debates the security and privacy threats that could prevent drones from being used in various B5G applications, as well as the security requirements needed. Furthermore, this Special Issue also aims to propose solutions based on lightweight security methods, including the use of blockchain technology and federated learning.
Potential topics include, but are not limited to:
- Security and privacy issues for drones in B5G;
- Blockchain-based security protocols for drones in B5G;
- Novel frameworks and algorithms based on existing and upcoming technologies to enhance security for drones in B5G;
- Lightweight security solutions for drones in B5G;
- Security measures against AI-related attacks on drones in B5G;
- Federated learning-based security solutions for drones in B5G.
Dr. Muhammad Asghar Khan
Prof. Dr. Pascal Lorenz
Dr. Syed Agha Hassnain Mohsan
Dr. Shehzad Ashraf Chaudhry
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. Drones is an international peer-reviewed open access monthly 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
- B5G
- AI
- federated learning
- blockchain
- security
- drones
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