Intelligent Edge Computing for Cyber Physical Applications
- 1st Edition - February 3, 2023
- Imprint: Academic Press
- Editors: D. Jude Hemanth, B. B. Gupta, Mohamed Elhoseny, Swati Vijay Shinde
- Language: English
- Paperback ISBN:9 7 8 - 0 - 3 2 3 - 9 9 4 1 2 - 5
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 9 9 4 3 3 - 0
Intelligent Edge Computing for Cyber Physical Applications introduces state-of-the-art research methodologies, tools and techniques, challenges, and solutions with further r… Read more
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Request a sales quoteIntelligent Edge Computing for Cyber Physical Applications introduces state-of-the-art research methodologies, tools and techniques, challenges, and solutions with further research opportunities in the area of edge-based cyber-physical systems. The book presents a comprehensive review of recent literature and analysis of different techniques for building edge-based CPS. In addition, it describes how edge-based CPS can be built to seamlessly interact with physical machines for optimal performance, covering various aspects of edge computing architectures for dynamic resource provisioning, mobile edge computing, energy saving scenarios, and different security issues.
Sections feature practical use cases of edge-computing which will help readers understand the workings of edge-based systems in detail, taking into account the need to present intellectual challenges while appealing to a broad readership, including academic researchers, practicing engineers and managers, and graduate students.
- Introduces and provides reviews on cyber physical and edge computing systems, with different architectures and models needed to address sustainable solutions to social, environmental and economic applications
- Presents the different architectures of edge computing for building cyber physical systems with dynamic resource provisioning and security solutions
- Provides AI based perspectives to edge-based cyber physical systems with different algorithms and AI based security solutions
- Covers different case studies and applications in detail, with real-life examples and possible challenges that can be encountered
- Offers perspectives for the design, development and commissioning of intelligent edge-based cyber physical systems
Graduate students, researchers, and professionals in electronic and computer engineering
- Cover image
- Title page
- Table of Contents
- Copyright
- List of contributors
- Chapter 1. Introduction to different computing paradigms: cloud computing, fog computing, and edge computing
- Abstract
- 1.1 Introduction
- 1.2 Computing paradigms: cloud, fog, and edge computing
- 1.3 Cloud computing
- 1.4 Fog computing
- 1.5 Edge computing
- 1.6 Challenges of edge computing
- 1.7 Conclusion
- References
- Chapter 2. Supervised machine learning techniques to protect IoT healthcare environment against cyberattacks
- Abstract
- 2.1 Introduction
- 2.2 Background
- 2.3 Problems in healthcare systems
- 2.4 Recent research in cybersecurity and health informatics
- 2.5 Supervised machine learning techniques in detecting malicious behavior in health informatics
- 2.6 Challenges and research areas
- 2.7 Conclusion
- References
- Chapter 3. Design of a novel privacy preservation based cyber security system framework for secure medical data transactions in cloud storage
- Abstract
- 3.1 Introduction
- 3.2 System model
- 3.3 Results and discussions
- 3.4 Conclusion
- References
- Chapter 4. IoT-based BIM integrated model for energy and water management in smart homes
- Abstract
- 4.1 Introduction
- 4.2 Background
- 4.3 Methodology
- 4.4 Results and discussion
- 4.5 Summary and conclusions
- References
- Chapter 5. Reliable data sharing in medical cyber physical system using fog computing
- Abstract
- 5.1 Introduction
- 5.2 Related works
- 5.3 Complexity assumptions
- 5.4 Formal model of proposed IBPSC-MCPC-FC scheme
- 5.5 Proposed identity based proxy signcryption for MCPS using fog computing
- 5.6 Security analysis of the proposed scheme
- 5.7 Conclusion
- References
- Chapter 6. Secure medical image storage and retrieval for Internet of medical imaging things using blockchain-enabled edge computing
- Abstract
- 6.1 Introduction
- 6.2 Internet of Things
- 6.3 Edge computing
- 6.4 Blockchain
- 6.5 Medical imaging modalities with the Internet of Things
- 6.6 Challenges and opportunities in blockchain-based IoMIT
- 6.7 Summary and conclusion
- References
- Chapter 7. Lane detection and path prediction in autonomous vehicle using deep learning
- Abstract
- 7.1 Introduction
- 7.2 ResNet architecture
- 7.3 Conclusions
- References
- Chapter 8. Intelligent autopilot fire extinguishing robot
- Abstract
- 8.1 Introduction
- 8.2 Proposed system: materials and methodology
- 8.3 Implementation
- 8.4 Experimental results and discussion
- 8.5 Conclusion
- References
- Chapter 9. Applicability of edge computing paradigm for Covid-19 mitigation
- Abstract
- 9.1 Introduction
- 9.2 Personal computing devices
- 9.3 Edge computing
- 9.4 Proposed work
- 9.5 Cloud computing
- 9.6 Conclusion
- Author’s contributions
- Disclosure
- Funding
- Ethical approval
- Patient consent for publication
- Declaration of competing interest
- References
- Chapter 10. Design and implementation of UWB-based cyber-physical system for indoor localization in an industry environment
- Abstract
- 10.1 Introduction
- 10.2 Role of UWB in industry 4.0
- 10.3 Methodology
- 10.4 Device characteristics
- 10.5 Experimental results
- 10.6 Conclusion
- 10.7 Characteristics summary
- Acknowledgement
- References
- Chapter 11. Application of intelligent edge computing and machine learning algorithms in MBTI personality prediction
- Abstract
- 11.1 Introduction
- 11.2 Literature survey
- 11.3 Model architecture
- 11.4 Materials and methods
- 11.5 Results and discussion
- 11.6 Conclusion and future works
- References
- Further reading
- Chapter 12. Techniques applied to increase soil fertility in smart agriculture
- Abstract
- 12.1 Introduction
- 12.2 Related work
- 12.3 Different approaches for improving soil fertility
- 12.4 Government programs to promote organic farming in India
- 12.5 Methodology
- 12.6 Model comparision and evaluation
- 12.7 Conclusion
- References
- Index
- Edition: 1
- Published: February 3, 2023
- Imprint: Academic Press
- No. of pages: 254
- Language: English
- Paperback ISBN: 9780323994125
- eBook ISBN: 9780323994330
DH
D. Jude Hemanth
Dr. D. Jude Hemanth is currently working as a professor in Department of ECE, Karunya University, Coimbatore, India. He also holds the position of “Visiting Professor” in Faculty of Electrical Engineering and Information Technology, University of Oradea, Romania. He also serves as the “Research Scientist” of Computational Intelligence and Information Systems (CI2S) Lab, Argentina; LAPISCO research lab, Brazil; RIADI Lab, Tunisia; Research Centre for Applied Intelligence, University of Craiova, Romania and e-health and telemedicine group, University of Valladolid, Spain.
Dr. Hemanth received his B.E degree in ECE from Bharathiar University in 2002, M.E degree in communication systems from Anna University in 2006 and Ph.D. from Karunya University in 2013. He has published 37 edited books with reputed publishers such as Elsevier, Springer and IET. His research areas include Computational Intelligence and Image processing. He has authored more than 200 research papers in reputed SCIE indexed International Journals and Scopus indexed International Conferences.
Affiliations and expertise
Professor, ECE Department, Karunya Institute of Technology and Sciences, Coimbatore, IndiaBG
B. B. Gupta
Prof. Brij B. Gupta is the of the Director of International Center for AI and Cyber Security Research, Incubation and Innovations, and Full Professor with the Department of Computer Science and Information Engineering (CSIE), Asia University, Taiwan. His research interests include information security, Cyber physical systems, cloud computing, blockchain technologies, intrusion detection, AI, social media and networking. In more than 17 years, he published over 450 papers in journals/conferences including 25 books and 10 Patents with over 15000 citations. He has received numerous national and international awards. He is also selected in the 2021 and 2020 Stanford University's ranking of the world's top 2% scientists. He is also an IEEE Senior Member (2017) and also selected as 2021 Distinguished Lecturer in IEEE CTSoc. Dr Gupta is also serving as Member-in-Large, Board of Governors, IEEE Consumer Technology Society (2022-2024).
Affiliations and expertise
Director, International Center for AI and Cyber Security Research, Incubation and Innovations, and Full Professor with the Department of Computer Science and Information Engineering (CSIE), Asia University, TaiwanME
Mohamed Elhoseny
Dr. Mohamed Elhoseny is an Associate Professor at the University of Sharjah, UAE. Dr. Elhoseny is an ACM Distinguished Speaker and IEEE Senior Member. His research interests include Smart Cities, Network Security, Artificial Intelligence, Internet of Things, and Intelligent Systems. Dr. Elhoseny is the founder and the Editor-in-Chief of the IJSSTA journal published by IGI Global, as well as Associate Editor at several Q1 journals such as IEEE Access, Scientific Reports, IEEE Future Directions, Remote Sensing, International Journal of E-services and Mobile Applications and Human-centric Computing and Information Sciences. He has also served as the co-chair, publication chair, program chair, and a track chair for several international conferences published by recognized publishers. Dr. Elhoseny is Editor-in-Chief of two book series, on Sensor Communication for Urban Intelligence and Distributed Sensing and Intelligent Systems.
Affiliations and expertise
Associate Professor, University of Sharjah, UAESS
Swati Vijay Shinde
Prof. Dr. Swati V. Shinde is a professor in Pimpri Chinchwad College of Engineering (PCCoE), Pune, In India.
She has published over 75 research papers in several reputed conferences and journals, two of which are published in the prestigious SCI indexed Science Q1 Elsevier journals. Dr. Shinde is recipient of four Best Paper Awards in different IEEE Conferences, and has filed four research patents. Her research interests include Machine Learning, Deep Learning, Soft Computing, Artificial Neural Network and Fuzzy Logic.
Affiliations and expertise
Professor, Pimpri Chinchwad College of Engineering (PCCoE), Pune, IndiaRead Intelligent Edge Computing for Cyber Physical Applications on ScienceDirect