IoT Security, Data Management and Cloud Integration

IoT Security, Data Management and Cloud Integration offers a comprehensive examination of the critical pillars of IoT ecosystems—device security, data lifecycle management, and cloud-based integration. The book begins by outlining IoT architectures and the security risks posed by device heterogeneity, network vulnerabilities, and large-scale deployments. It then explores encryption techniques, authentication mechanisms, and security-by-design strategies to protect connected systems.
The text further delves into the management of IoT-generated data, covering collection, storage, preprocessing, analytics, and privacy-preserving techniques. Special emphasis is placed on big data frameworks and AI-driven insights that enable organizations to transform raw IoT data into actionable intelligence.
Cloud integration is addressed as a vital enabler of scalability and interoperability, with discussions on cloud–edge convergence, hybrid infrastructures, and the role of emerging paradigms like fog and edge computing. The book also examines regulatory standards, compliance issues, and ethical considerations in global IoT networks.
Through case studies and practical frameworks, this book provides a roadmap for building secure, data-driven, and cloud-integrated IoT solutions. Suitable for advanced students, IT professionals, engineers, and decision-makers, it combines academic depth with practical relevance to prepare readers for the challenges and opportunities of next-generation IoT.