Special Session
SS 05 - Industrial Internet-of-things (IIoT) Technologies and Security Measures for Industrial Intelligence
SS 05 - Industrial Internet-of-things (IIoT) Technologies and Security Measures for Industrial Intelligence
Organizers
Chung Kit Wu, City University of Hong Kong, Hong Kong
and
Moe Alahmad, University of Nebraska-Lincoln, USA
and
Kim Fung Tsang, GBA 5G Industry Alliance, Hong Kong
Session Focus
Industrial Internet-of-things (IIoT) is a crucial concept to integrate numerous sensors, devices, networks, and systems to facilitate industrial applications, such as manufacturing, smart grid, transportation, etc. IIoT embraces various industrial standards, system frameworks, communication protocols, and artificial intelligence (AI) algorithms, enabling seamless data sharing, ubiquitous data analysis and efficient decision-making. The adoption of IIoT will facilitate the evolution toward Industry 5.0, which relies on pervasive AI systems and cyber-physical interactions. On the other hand, the rapid growth of industrial intelligence would increase the threats due to improper security measures of IIoT. For instance, some typical threats consist of data poisoning, data inaccuracy, availability issues, etc. Therefore, the special session focuses on the evolutionary IIoT technologies as well as security measures to sustain the performance of industrial intelligence.
Session Topics
- Frameworks and Emerging Technologies of IIoT for Industrial Intelligence
- Artificial Intelligence Technologies for Industrial Applications
- Standardization of IIoT Architectures
- Risk Analysis and Management for Industrial Safety
- Application Use Cases and Pilot Testbeds of IIoT Technologies
- Analysis and Identification of Threats in IIoT, such as data poisoning, adversarial examples, data integrity, data accuracy, availability, Privacy, etc.
- Security Solutions for Industrial Intelligence, such as data accuracy verification, blockchain, abnormality detection, etc.
- Interoperability of IIoT in Industrial Applications
Bio of the organizers
Dr. Chung Kit Wu received the B.Eng. degree in electronic and communication engineering, with first-class honours, from the City University of Hong Kong in 2014, and obtained his Ph.D. degree in 2020 at the same university. Up to now, he has published over 40 technical papers. His R&D experience includes Internet-of-things (IoT), digital signal processing, pattern recognition, artificial intelligence (AI), machine learning algorithms, healthcare application, optimization, and complex network. Also, he is the Secretary of the IEEE Standards Working Group P2668
Mahmoud (Moe) Alahmad graduated with a Ph.D. in electrical engineering in 2005, a Master of Science in Electrical Engineering in 1991 and a Bachelor of Science in Electrical Engineering in 1989, all from the University of Idaho, Moscow, Idaho, USA. He is currently an associate professor in The Durham School of Architectural Engineering and Construction at the University of Nebraska-Lincoln. Industry experience includes over 10 years of infrastructure planning, design and analysis of electrical distribution systems for the built environment.
Dr. Alahmad is a registered Professional Engineer (PE). He is an IEEE Senior member; he is a peer reviewer for the IEEE Transaction on Industrial Electronics and IEEE Transactions on Industrial Informatics, among other transactions
Dr. Kim Fung Tsang is the President of the Greater Bay Area (GBA) 5G Industry Alliance. He has published more than 250 technical papers and four books/chapters. Dr. Tsang is a Fellow of the HKIE, Senior Member of the IEEE, Chartered Engineer and member of IET, an Associate Editor and Guest Editor of the IEEE Transaction of Industrial Informatics, an Associate Editor of the IEEE Industrial Electronics Magazine, an Associate Editor of the IEEE ITeN, and an Editor of the KSII Transactions on Internet and Information Systems. Also, he is the Chair of the IEEE Standards Working Group P2668, P1451.5.5, P1451.5.6, and P1451.5.10