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…mehr
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.
Produktdetails
Produktdetails
Advances in Learning Analytics for Intelligent Cloud-IoT Systems
Monika Mangla PhD is an Assistant Professor in the Department of Computer Engineering at Lokmanya Tilak College of Engineering (LTCoE), Mumbai, India. Her research areas include IoT, cloud computing, algorithms and optimization, location modelling and machine learning. Suneeta Satpathy PhD is an Associate Professor in the Department of Computer Science & Engineering at College of Engineering Bhubaneswar (CoEB), Bhubaneswar. Her research interests include computer forensics, cybersecurity, data fusion, data mining, big data analysis, and decision mining. Bhagirathi Nayak has 25 years of experience in the areas of computer science and engineering and database designing. Prof. Nayak earned his PhD in Computer Science from IIT Kharagpur. He is currently associated with Sri Sri University, Cuttack as head of the Department of Information & Communication Technology. He has obtained five patents in the area of computer science and engineering and his areas of interest are data mining, big data analytics, artificial intelligence and machine learning. Sachi Nandan Mohanty obtained his PhD from IIT Kharagpur in 2015 and is now an Associate Professor in the Department of Computer Science & Engineering at ICFAI Foundation for Higher Education Hyderabad. Dr. Mohanty's research areas include data mining, big data analysis, cognitive science, fuzzy decision making, brain-computer interface, and computational intelligence.
Inhaltsangabe
Preface xv
Acknowledgement xvii
1 Internet of Things: A Key to Unfasten Mundane Repetitive Tasks 1 Hemanta Kumar Palo and Limali Sahoo
1.1 Introduction 1
1.2 The IoT Scenario 2
1.3 The IoT Domains 3
1.3.1 The IoT Policy Domain 3
1.3.2 The IoT Software Domain 5
1.3.2.1 IoT in Cloud Computing (CC) 5
1.3.2.2 IoT in Edge Computing (EC) 6
1.3.2.3 IoT in Fog Computing (FC) 10
1.3.2.4 IoT in Telecommuting 11
1.3.2.5 IoT in Data-Center 12
1.3.2.6 Virtualization-Based IoT (VBIoT) 12
1.4 Green Computing (GC) in IoT Framework 12
1.5 Semantic IoT (SIoT) 13
1.5.1 Standardization Using oneM2M 15
1.5.2 Semantic Interoperability (SI) 18
1.5.3 Semantic Interoperability (SI) 19
1.5.4 Semantic IoT vs Machine Learning 20
1.6 Conclusions 21
References 21
2 Measures for Improving IoT Security 25 Richa Goel, Seema Sahai, Gurinder Singh and Saurav Lall
2.1 Introduction 25
2.2 Perceiving IoT Security 26
2.3 The IoT Safety Term 27
2.4 Objectives 28
2.4.1 Enhancing Personal Data Access in Public Repositories 28
2.4.2 Develop and Sustain Ethicality 28
2.4.3 Maximize the Power of IoT Access 29
2.4.4 Understanding Importance of Firewalls 29
2.5 Research Methodology 30
2.6 Security Challenges 31
2.6.1 Challenge of Data Management 32
2.7 Securing IoT 33
2.7.1 Ensure User Authentication 33
2.7.2 Increase User Autonomy 33
2.7.3 Use of Firewalls 34
2.7.4 Firewall Features 35
2.7.5 Mode of Camouflage 35
2.7.6 Protection of Data 35
2.7.7 Integrity in Service 36
2.7.8 Sensing of Infringement 36
2.8 Monitoring of Firewalls and Good Management 36
2.8.1 Surveillance 36
2.8.2 Forensics 37
2.8.3 Secure Firewalls for Private 37
2.8.4 Business Firewalls for Personal 37
2.8.5 IoT Security Weaknesses 37
2.9 Conclusion 37
References 38
3 An Efficient Fog-Based Model for Secured Data Communication 41 V. Lakshman Narayana and R. S. M. Lakshmi Patibandla
3.1 Introduction 41
3.1.1 Fog Computing Model 42
3.1.2 Correspondence in IoT Devices 43
3.2 Attacks in IoT 45
3.2.1 Botnets 45
3.2.2 Man-In-The-Middle Concept 45
3.2.3 Data and Misrepresentation 46
3.2.4 Social Engineering 46
3.2.5 Denial of Service 46
3.2.6 Concerns 47
3.3 Literature Survey 48
3.4 Proposed Model for Attack Identification Using Fog Computing 49
3.5 Performance Analysis 52
3.6 Conclusion 54
References 54
4 An Expert System to Implement Symptom Analysis in Healthcare 57 Subhasish Mohapatra and Kunal Anand
