AI Security and Edge Computing in Distributed Edge Systems
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Mathematics and Computer Science".
Deadline for manuscript submissions: 31 May 2025 | Viewed by 95
Special Issue Editors
Interests: distributed machine learning; AI security, privacy computing; edge AI, edge computing; blockchain; Internet of Things (IoT); mobile computing; wireless sensing
Special Issues, Collections and Topics in MDPI journals
Interests: machine learning; privacy preserving
Special Issue Information
Dear Colleagues,
The advent of edge computing has revolutionized the way we process and analyze data, bringing computational power closer to the data source. This paradigm shift has enabled numerous applications across various domains, from smart cities to industrial automation. With the integration of Artificial Intelligence (AI) techniques into edge systems, the potential for innovation and efficiency gains is vast. However, this integration also introduces significant security challenges that must be addressed to ensure the robustness and reliability of these systems. This Special Issue aims to provide a platform for researchers and practitioners to disseminate their latest findings, exchange ideas, and discuss challenges and solutions related to the security aspects of AI in distributed edge environments.
Topics of interest include, but are not limited to, the following:
- Security threats and vulnerabilities in AI-enabled edge systems;
- Privacy-preserving AI techniques for edge computing;
- Secure and efficient distributed machine learning algorithms for edge devices;
- Trustworthiness and integrity of AI models deployed at the edge;
- Secure communication protocols for edge-to-cloud and edge-to-edge interactions;
- Threat modeling and risk assessment in edge computing environments;
- Intrusion detection and prevention systems for edge networks;
- Hardware-based security solutions for edge devices;
- Federated learning and secure aggregation in edge computing;
- Regulatory and ethical considerations in securing AI at the edge.
Dr. Kongyang Chen
Dr. Hongyang Yan
Guest Editors
Dr. Yatie Xiao
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
- edge computing
- artificial intelligence
- AI security
- distributed systems
- privacy preservation
- machine learning
- distributed learning
- federated learning
- edge-to-cloud communication
- large-language model
