Edge Intelligence in Cyber-Physical Systems

Autorentext
Fatos Xhafa, PhD in Computer Science, is Full Professor at the Technical University of Catalonia (UPC), Barcelona, Spain. He has held various tenured and visiting professorship positions. He was a Visiting Professor at the University of Surrey, UK (2019/2020), Visiting Professor at the Birkbeck College, University of London, UK (2009/2010) and a Research Associate at Drexel University, Philadelphia, USA (2004/2005). He was a Distinguished Guest Professor at Hubei University of Technology, China, for the duration of three years (2016-2019). Prof. Xhafa has widely published in peer reviewed international journals, conferences/workshops, book chapters, edited books and proceedings in the field (H-index 55). He has been awarded teaching and research merits by the Spanish Ministry of Science and Education, by IEEE conferences and best paper awards. Prof. Xhafa has an extensive editorial service. He is founder and Editor-In-Chief of Internet of Things - Journal - Elsevier (Scopus and Clarivate WoS Science Citation Index) and of International Journal of Grid and Utility Computing, (Emerging Sources Citation Index), and AE/EB Member of several indexed Int'l Journals. Prof. Xhafa is a member of IEEE Communications Society, IEEE Systems, Man & Cybernetics Society and Founder Member of Emerging Technical Subcommittee of Internet of Things.
His research interests include IoT and Cloud-to-thing continuum computing, massive data processing and collective intelligence, optimization, security and trustworthy computing and machine learning, among others. He can be reached at fatos@cs.upc.edu. Please visit also http://www.cs.upc.edu/~fatos/ and at http://dblp.uni-trier.de/pers/hd/x/Xhafa:Fatos Houbing Song, Security and Optimization for Networked Globe Laboratory, University of Maryland, Baltimore County (UMBC), Baltimore, USA. His research interests include cyber-physical systems, cybersecurity and privacy, IoT, big data analytics, connected vehicles, smart health, wireless communications, and networking. Dr. Song has edited and authored several books in the field, including Cyber-Physical Systems: Foundations, Principles and Applications.Dr. Wei Yu is a professor at the Department of Computer and Information Sciences, Towson University, MD, USA. His research interests include Cybersecurity, Cyber-Physical Systems (CPS), Internet of Things, Data Science, and Machine Learning Applications. He has published over 350 papers, including articles in premier system and security conferences and journals. He received the University System of Maryland (USM) Wilson H. Elkins Professorship Award, the USM Regents' Faculty Award for Excellence in Research, the United States National Science Foundation Faculty Early Career Development (CAREER) Award in 2014 on CPS, and the Best Paper Award at various IEEE conferences. He played multiple roles in the research community, including Senior Area Editor, Associate Editor, and Guest Editor for various journals and Program Vice/Track-Chair for different conferences. His H-index is 55 in Google Scholar, with over 16,000 citations. Over the past fifteen years, Dr. Yu has led his research team in developing innovative models, algorithms, and methods in CPS, enabling the holistic integration of edge intelligence into CPS.

Klappentext

Edge Intelligence in Cyber-Physical Systems: Foundations and Applications provides a comprehensive overview of best practices for building edge intelligence into cyber-physical systems. This book covers the foundations and applications of synergizing machine learning at the edge of CPS, leveraging an edge computing infrastructure. Divided into four parts, the first section of the book reviews the foundations, principles, and representative application domains of CPS. The second part covers machine learning, edge computing, and their needs in CPS, defining edge intelligence and its principles, challenges, and research directions. The third part presents tutorials and foundational research works on realizing edge intelligence in representative CPS. The fourth part explores the problem space of threats and countermeasures in building edge intelligence into CPS. Researchers, graduate students and professionals in computer science, data science, and electrical engineering will find this to be a valuable resource on the principles and applications of edge intelligence in cyber-physical systems as well as the development of interdisciplinary techniques to advance the field.

Inhalt

1. Introduction

Part I - CPS Foundation and Application
Introduction: Part I

2. CPS Foundation and Principle
3. Representative CPS Application Domains

Part II - When Machine Learning Meets Edge Computing: Edge Intelligence in CPS
Introduction: Part II

4. Machine Learning in CPS
5. Edge Computing in CPS
6. Edge Intelligence in CPS

Part III - Application of Edge Intelligence in CPS
Introduction: Part III

7. Edge Intelligence in Smart Energy CPS
8. Edge Intelligence in Smart Transportation CPS
9. Edge Intelligence in Smart Manufacturing CPS
10. Edge Intelligence in Smart Home CPS
11. Edge Intelligence in Smart Agriculture CPS

Part IV - Secured Edge Intelligence in CPS
Introduction: Part IV

12. Foundation of Secured Edge Intelligence in CPS
13. Secured Edge Intelligence in Smart Energy CPS
14. Secured Edge Intelligence in Smart Transportation CPS
15. Secured Edge Intelligence in Smart Manufacturing CPS
16. Secured Edge Intelligence in Smart Home CPS
17. Secured Edge Intelligence in Smart Agriculture CPS
18. Final Remarks