New Challenges to Secure and Intelligent IoT Sensor Systems and Applications
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".
Deadline for manuscript submissions: closed (25 February 2024) | Viewed by 4197
Special Issue Editors
Interests: cybersecurity and privacy; system and network security; data security and protection
Interests: signal processing; wireless communication systems and technologies (microwave and millimetre wave)
Interests: 5G and 6G antennas; in-band full duplex wireless communications systems; joint communications and sensing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Internet of Things (IoT) sensors have transformed the way we live and work, enabling unprecedented connectivity between the physical and virtual worlds. In addition to challenges in new IoT sensor devices, wireless communication technologies and system architecture, IoT sensor systems and applications are facing new security and privacy challenges. This is partly due to the unique features of IoT systems, including large-scale and heterogeneous networks and resource-limited sensor devices. Consequently, it is imperative to develop security- and privacy-preserving technologies for IoT sensor systems. Intelligence is another prevalent topic in the field of IoT sensors, and research in this field has benefited from rapidly developing artificial intelligence (AI) technologies. Reinforcement learning and neural networks have been developed for complex IoT tasks with limited sensor resources, and federated learning enables IoT systems to exchange knowledge without exposing private data. Moreover, new IoT sensor devices and applications both enable ubiquitous computing and pose further challenges for AI algorithms.
This Special Issue focuses on emerging challenges in secure, privacy-preserving, intelligent and efficient IoT sensor systems and applications, as well as novel solutions empowered by the latest developments in blockchains, federated learning (FL), edge computing, deep learning (DL), neural networks (NNs) and privacy-enhancing technologies (PET). Potential topics include, but are not limited to:
- New threats to IoT sensor devices, systems and applications;
- Blockchain-integrated IoT sensor architecture and applications;
- Privacy-enhancing schemes for IoT applications;
- Machine learning for IoT security;
- Secure IoT system design;
- Efficient IoT system design;
- Intelligent IoT sensor applications;
- Prototypes and testbeds for secure and efficient IoT systems and applications.
Dr. Xu Wang
Dr. Ying He
Prof. Dr. Yingjie Jay Guo
Guest Editors
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Keywords
- Internet of Things
- security and privacy
- blockchain
- artificial intelligence
- federated learning
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