Submission Deadline: 31 March 2025 View: 372 Submit to Special Issue
Prof. Jong Hyuk (James) Park (Leading Guest Editor), Seoul National University of Science and Technology, South Korea
Prof. Yi Pan, Georgia State University, USA
Prof. Ji Su Park, Jeonju University, South Korea
Artificial Intelligence of Things (AIoT) is considered a collaborative application of artificial intelligence (AI) and the Internet of Things (IoT). The AIoT system realizes real-time information acquisition through IoT sensors and performs intelligent data analysis tasks anywhere along the terminal-edge-cloud continuum, forming a smart and supportive ecosystem. However, AIoT systems face threats related to IoT data trust, system robustness, security, and privacy, making them susceptible to massive cyberattacks.
AI and blockchain ensure a secure environment for AIoT data communication, computation, and storage to solve trust, alertness, security, and privacy issues in AIoT. AI extends existing blockchain technology to bring a high level of economics, adaptability, and autonomy to blockchain systems. On top of existing blockchain technology, data mining, pattern recognition, machine learning, and deep learning can provide additional capabilities to blockchain systems, providing significant benefits to AIoT systems. Recently, it has been applied to cyber security, smart cities, smart grids, wireless sensor networks, mobile communications, crowdsourcing/crowd sensing, and cyber physical-social systems. However, AIoT's AI and blockchain technology still have several research problems and challenges.
Original papers are requested on topics of interest including, but not limited to:
1. Blockchain Theory and Algorithms for Robustness, Privacy, Trust and Security in AIoT
2. Machine Learning Theory and Algorithm for Robustness, Privacy, Trust and Security in AIoT
3. AI-based data analytics for AIoT
4. Machine/deep learning for AIoT
5. Secure AIoT system design based on ML and blockchain
6. Decentralized and collaborative learning for AIoT
7. Decentralized computing for AIoT(Robustness, Privacy, Trust and Security)
8. Big data analytics based on blockchain in AIoT systems
9. Performance optimization of blockchains in AIoT
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