Cloud of Things Foundations, Applications, and Challenges

Cloud computing is the on-demand availability of computer system resources, especially data storage and computing power, without direct active management by the user. This book explores algorithms, protocols, and system design principles of key smart technologies including cloud computing and the internet of things.

? Discusses the system design principles in cloud computing along with artificial intelligence, machine learning, and data analytics applications

? Presents blockchain-based solutions, cyber-physical system applications, and deep learning approaches to solving practical problems

? Highlights important concepts including the cloud of things architecture, cloud service management and virtualization, and resource management techniques

? Covers advanced technologies including fog computing, edge computing, and distributed intelligence

? Explores cloud-enabling technology, broadband networks and internet architecture, internet service providers (ISPs), and connectionless packet switching.

The text is primarily written for graduate students, academic researchers, and professionals in the field of computer science and engineering, electrical engineering, and information technology.

1. Cloud of Things: Architecture and Industrial Applications 2. Development of Digital Twin System for Cloud of Things 3. A Critical Analysis of Enhanced Virtual Machine Selection and Planning using Statistical Approaches in Cloud Data Centers 4. An Analysis of Security and Privacy in Cloud and IoT 5. Cloud of Things in Smart Cities 6. BGLMC: A Bidirectional GRU based Learning Model for Cloud-Computing Resource Workloads Forecasting 7. Study on Cost-Effective Solutions for Big Data Processing in the Cloud of Things 8. Phishing Attack Detection For Cloud Based Environment Using Hybrid Machine Learning Model 9. Towards the sustainable development of smart cities through Cloud of Things 10. Data-level Cyber Deception in Cloud of Things: Prospects, Issues, and Challenges 11. AI-Based Mass Screening Using Cloud-Based EHR and CXR - An Implication for India’s National Strategic Plan to End Tuberculosis 12. Defending Medicare: Unleashing the Power of Anti-Vortex Technology against Hackers in Cloud Environment 13. An automated approach for migration of Microservices based applications to Serverless Architecture 14. Cloud Defender: Developing a Machine Learning Framework for Real-Time Detection and Mitigation of DDoS Attacks in Cloud Computing Environments 15. GBDT based Approach for DDoS Attack Prevention in SDN-based Cloud Virtual Machine 16. Cloud-based Decentralised Freelancing Marketplace 17. Poisson Based Energy Hole Prediction (PBEHP) for Voronoi Wireless Multimedia Sensor Network 18. A Viral Decoy Environment for Ransomware Defense 19. CouPLeD: Cloud Enabled Artificial Neural Network Framework for Plant Leaf Disease Detection 20. Concerns, Threats and Ethical Considerations in Using Cloud of Things

Jitendra Kumar (https://orcid.org/0000-0002-2938-6432)

Dr Jitendra Kumar is an Assistant Professor in the Department of Computer Applications, National Institute of Technology Tiruchirappalli, Tamilnadu, India (an institution of national importance). Dr Kumar obtained his PhD in Machine Learning and Cloud Computing from the National Institute of Technology Kurukshetra, Haryana, India. He has authored and published many research articles in peer-reviewed and indexed journals and conferences of high repute. He is a senior member of IEEE and several other IEEE technical committees, including CIS, TCCLD, TCSVC, and SIGHT. He is also a member of ACM and MIR Labs. He is an active review board member of various journals and conferences of repute like 'IEEE Transactions on Parallel and Distributed Systems', 'IEEE Transactions on Computers', 'IEEE Systems Journal', 'IEEE Access', 'IJCNN', 'FUZZ-IEEE', 'CEC', etc. His research interests include Cloud Computing, Machine Learning, Computational Intelligence, Time Series Forecasting, and Optimization.

Gangadharan G R (https://orcid.org/0000-0002-0764-2650)

Gangadharan G R is working as an Associate Professor in the National Institute of Technology, Tiruchirappalli, India. His research interests are mainly located on the interface between technological and business perspectives. His areas of research interests include Artificial Intelligence, Machine Learning, Big Data Analytics, and Cloud Computing. He has received Ph.D. degree in Information and Communication Technology (2008) from the University of Trento, Trento, Italy and European University Association and an M.S. in Information Technology (2004) from Scuola Superiore Sant’Anna, Pisa, Italy. He is a Senior Member of IEEE and ACM.

Ashutosh Kumar Singh (https://orcid.org/0000-0002-8053-5050)

Dr. Ashutosh Kumar Singh is an esteemed researcher and academician in Ele