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Privacy and Security Issues in IoT Systems
This special issue belongs to the section “Cybersecurity“.
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. Chung-Wei Kuo
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 250 words) can be sent to the Editorial Office for assessment.
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. Future Internet 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 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
- edge learning
- data privacy
- security threats
- defense mechanism
- side-channel attack
- threat model
- Internet of Things application
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Published Papers
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