Privacy and Security Issues with Edge Learning in IoT Systems
A special issue of Future Internet (ISSN 1999-5903). This special issue belongs to the section "Cybersecurity".
Deadline for manuscript submissions: 20 November 2024 | Viewed by 2617
Special Issue Editors
Interests: cryptography; IoT application and security; m-commerce application and security
Special Issue Information
Dear Colleagues,
Edge learning represents a frontier in artificial intelligence innovation, decomposing centralized storage and computing into distributed solutions. It is an emerging approach for training models across distributed clients. However, the susceptibility of edge learning, including decentralized deep learning, to tampering and manipulation underscores the need for addressing vulnerabilities in Internet of Things (IoT) systems to uphold data privacy and security.
This Special Issue presents an exceptional opportunity for sharing scientific insights and disseminating research findings across various communities. It will delve into emerging trends and methodologies for edge learning in the IoT, showcasing innovative solutions that underscore the significance of discoveries for researchers.
Dr. Kuo-Yu Tsai
Dr. Kuo Chung-Wei
Guest Editors
Manuscript Submission Information
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Keywords
- edge learning
- data privacy
- security threats
- defense mechanism
- side-channel attack
- threat model
- Internet of Things application
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