Integration of Cloud Computing with Internet of Things: Foundations, Analytics and Applications
- Length: 384 pages
- Edition: 1
- Language: English
- Publisher: Wiley-Scrivener
- Publication Date: 2021-04-13
- ISBN-10: 111976887X
- ISBN-13: 9781119768876
- Sales Rank: #8633549 (See Top 100 Books)
The book aims to integrate the aspects of IoT, Cloud computing and data analytics from diversified perspectives. The book also plans to discuss the recent research trends and advanced topics in the field which will be of interest to academicians and researchers working in this area. Thus, the book intends to help its readers to understand and explore the spectrum of applications of IoT, cloud computing and data analytics.
Here, it is also worth mentioning that the book is believed to draw attention on the applications of said technology in various disciplines in order to obtain enhanced understanding of the readers. Also, this book focuses on the researches and challenges in the domain of IoT, Cloud computing and Data analytics from perspectives of various stakeholders.
Cover Title Page Copyright Preface Acknowledgement 1 Internet of Things: A Key to Unfasten Mundane Repetitive Tasks 1.1 Introduction 1.2 The IoT Scenario 1.3 The IoT Domains 1.4 Green Computing (GC) in IoT Framework 1.5 Semantic IoT (SIoT) 1.6 Conclusions 2 Measures for Improving IoT Security 2.1 Introduction 2.2 Perceiving IoT Security 2.3 The IoT Safety Term 2.4 Objectives 2.5 Research Methodology 2.6 Security Challenges 2.7 Securing IoT 2.8 Monitoring of Firewalls and Good Management 2.9 Conclusion 3 An Efficient Fog-Based Model for Secured Data Communication 3.1 Introduction 3.2 Attacks in IoT 3.3 Literature Survey 3.4 Proposed Model for Attack Identification Using Fog Computing 3.5 Performance Analysis 3.6 Conclusion 4 An Expert System to Implement Symptom Analysis in Healthcare 4.1 Introduction 4.2 Related Work 4.3 Proposed Model Description and Flow Chart 4.4 UML Analysis of Expert Model 4.5 Ontology Model of Expert Systems 4.6 Conclusion and Future Scope 5 Traffic Prediction Using Machine Learning and IoT 5.1 Introduction 5.2 Related Work 5.3 System Design 5.4 Results and Discussion 5.5 Conclusion 5.6 Future Work 6 IoT Protocol for Inferno Calamity in Public Transport 6.1 Introduction 6.2 Literature Survey 6.3 Methodology 6.4 Implementation 6.5 Results 6.6 Conclusion and Future Work 7 Traffic Prediction Using Machine Learning and IoT 7.1 Introduction 7.2 Literature Review 7.3 Methodology 7.4 Architecture 7.5 Results 7.6 Conclusion and Future Scope 8 Application of Machine Learning in Precision Agriculture 8.1 Introduction 8.2 Machine Learning 8.3 Agriculture 8.4 ML Techniques Used in Agriculture 8.5 Conclusion 9 An IoT-Based Multi Access Control and Surveillance for Home Security 9.1 Introduction 9.2 Related Work 9.3 Hardware Description 9.4 Software Design 9.5 Conclusion 10 Application of IoT in Industry 4.0 for Predictive Analytics 10.1 Introduction 10.2 Past Literary Works 10.3 Methodology and Results 10.4 Conclusion 11 IoT and Its Role in Performance Enhancement in Business Organizations 11.1 Introduction 11.2 Technology and Productivity 11.3 Technology and Future of Human Work 11.4 Technology and Employment 11.5 Conclusion 12 An Analysis of Cloud Computing Based on Internet of Things 12.1 Introduction 12.2 Challenges in IoT 12.3 Technologies Used in IoT 12.4 Cloud Computing 12.5 Cloud Computing Characteristics 12.6 Applications of Cloud Computing 12.7 Cloud IoT 12.8 Necessity for Fusing IoT and Cloud Computing 12.9 Cloud-Based IoT Architecture 12.10 Applications of Cloud-Based IoT 12.11 Conclusion 13 Importance of Fog Computing in Emerging Technologies-IoT 13.1 Introduction 13.2 IoT Core 13.3 Need of Fog Computing 14 Convergence of Big Data and Cloud Computing Environment 14.1 Introduction 14.2 Big Data: Historical View 14.3 Big Data Challenges 14.4 The Architecture 14.5 Cloud Computing: History in a Nutshell 14.6 Insight of Big Data and Cloud Computing 14.7 Cloud Framework 14.8 Conclusions 14.9 Future Perspective 15 Data Analytics Framework Based on Cloud Environment 15.1 Introduction 15.2 Focus Areas of the Chapter 15.3 Cloud Computing 15.4 Data Analytics 15.5 Real-Time Data Analytics Support in Cloud 15.6 Framework for Data Analytics in Cloud 15.7 Data Analytics Work-Flow 15.8 Cloud-Based Data Analytics Tools 15.9 Experiment Results 15.10 Conclusion 16 Neural Networks for Big Data Analytics 16.1 Introduction 16.2 Neural Networks—An Overview 16.3 Why Study Neural Networks? 16.4 Working of Artificial Neural Networks 16.5 Innovations in Neural Networks 16.6 Applications of Deep Learning Neural Networks 16.7 Practical Application of Neural Networks Using Computer Codes 16.8 Opportunities and Challenges of Using Neural Networks 16.9 Conclusion 17 Meta-Heuristic Algorithms for Best IoT Cloud Service Platform Selection 17.1 Introduction 17.2 Selection of a Cloud Provider in Federated Cloud 17.3 Algorithmic Solution 17.4 Analyzing the Algorithms 17.5 Conclusion 18 Legal Entanglements of Cloud Computing In India 18.1 Cloud Computing Technology 18.2 Cyber Security in Cloud Computing 18.3 Security Threats in Cloud Computing 18.4 Cloud Security Probable Solutions 18.5 Cloud Security Standards 18.6 Cyber Security Legal Framework in India 18.7 Privacy in Cloud Computing—Data Protection Standards 18.8 Recognition of Right to Privacy 18.9 Government Surveillance Power vs Privacy of Individuals 18.10 Data Ownership and Intellectual Property Rights 18.11 Cloud Service Provider as an Intermediary 18.12 Challenges in Cloud Computing 18.13 Conclusion 19 Securing the Pharma Supply Chain Using Blockchain 19.1 Introduction 19.2 Literature Review 19.3 Methodology 19.4 Results 19.5 Conclusion and Future Scope Index End User License Agreement
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