AI-Enabled Industrial Internet and Its Security, Privacy and Trust Challenge
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: closed (30 September 2023) | Viewed by 7663
Special Issue Editors
Interests: data fusion; cyberphysical systems security; Industrial Internet
Special Issue Information
Dear Colleagues,
The Industrial Internet, which makes machines and devices work together, has been widely used in recent years in many modern industrial fields, such as smart manufacturing, intelligent transportation, and smart healthcare. We can collect plenty of data from the Industrial Internet through machine to machine, machine to gateway, and gateway to cloud connections. These big data can allow us to further use artificial intelligence (AI), e.g., a kind of machine learning approach, to address the problem of how to efficiently utilize the resources of all machines. Unfortunately, however, the Industrial Internet may suffer from potential attacks, such as denial of service (DoS), false-data injection (FDI), and spoof. Therefore, the security for the Industrial Internet is incredibly important for current industrial hardware, software, and algorithms. Any security problems in industrial fields may cause catastrophic effects, such as process control explosion due to some malicious attacks on machines or devices. This Special Issue focuses on recent progress in the Industrial Internet and its security , privacy, and trust challenges.
The topics of interest include but are not limited to:
- AI-based control for the Industrial Internet;
- Learning methods assisting with traditional control;
- New modeling approaches for the Industrial Internet;
- New conceptions and frameworks supporting the Industrial Internet;
- Data mining in the Industrial Internet;
- Machine learning and deep learning for the Industrial Internet;
- Energy-efficient communication framework for the Industrial Internet;
- Machine diagnostics and reliability analysis in the Industrial Internet;
- Security in the Industrial Internet;
- Industrial process privacy in the Industrial Internet;
- Data privacy for the Industrial Internet;
- The trust communication frame for the Industrial Internet.
Dr. Bo Chen
Dr. Zhen Hong
Guest Editors
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Keywords
- sensor signal processing
- deep learning
- big data processing and machine learning in sensor systems
- signal processing and intelligent sensing for Internet-of-Things (IoT) platforms
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