
Designing Secure and Scalable IoT Systems (eBook, ePUB)
Definitive Reference for Developers and Engineers
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"Designing Secure and Scalable IoT Systems" "Designing Secure and Scalable IoT Systems" is a comprehensive guidebook for architects, engineers, and technology leaders seeking to build robust Internet of Things (IoT) applications that meet demanding standards of security, performance, and manageability. Spanning foundational principles through advanced topics, this book examines contemporary IoT architectures, modular system decomposition, and coordination across edge, fog, and cloud environments. It explores event-driven and resilient design patterns, emphasizing scalable data and control plan...
"Designing Secure and Scalable IoT Systems"
"Designing Secure and Scalable IoT Systems" is a comprehensive guidebook for architects, engineers, and technology leaders seeking to build robust Internet of Things (IoT) applications that meet demanding standards of security, performance, and manageability. Spanning foundational principles through advanced topics, this book examines contemporary IoT architectures, modular system decomposition, and coordination across edge, fog, and cloud environments. It explores event-driven and resilient design patterns, emphasizing scalable data and control plane separation to ensure reliability in rapidly evolving, distributed ecosystems.
Central to this work is an in-depth treatment of IoT security fundamentals, including threat modeling, device authentication, lightweight cryptography, secure provisioning, and end-to-end communication protocols. The book rigorously addresses privacy-by-design methodologies, intrusion detection, secure firmware management, and regulatory compliance, equipping readers to anticipate and defend against modern threats while balancing innovation and trust. Advanced security challenges are explored, with insights into zero trust models, quantum-resistant cryptography, anomaly detection, and privacy engineering for compliance with global standards such as GDPR.
Beyond security, the book covers every facet of scalable IoT operations - from network design and data management to device lifecycle orchestration, cloud-native deployment, and operational excellence. Readers will find practical strategies for self-healing networks, federated learning, blockchain integration, and sustainable operation at scale. Concluding with emerging trends like decentralized AI, next-generation connectivity, and ethical impact analysis, "Designing Secure and Scalable IoT Systems" serves as an indispensable reference for navigating the complexities and opportunities of next-generation IoT deployments.
"Designing Secure and Scalable IoT Systems" is a comprehensive guidebook for architects, engineers, and technology leaders seeking to build robust Internet of Things (IoT) applications that meet demanding standards of security, performance, and manageability. Spanning foundational principles through advanced topics, this book examines contemporary IoT architectures, modular system decomposition, and coordination across edge, fog, and cloud environments. It explores event-driven and resilient design patterns, emphasizing scalable data and control plane separation to ensure reliability in rapidly evolving, distributed ecosystems.
Central to this work is an in-depth treatment of IoT security fundamentals, including threat modeling, device authentication, lightweight cryptography, secure provisioning, and end-to-end communication protocols. The book rigorously addresses privacy-by-design methodologies, intrusion detection, secure firmware management, and regulatory compliance, equipping readers to anticipate and defend against modern threats while balancing innovation and trust. Advanced security challenges are explored, with insights into zero trust models, quantum-resistant cryptography, anomaly detection, and privacy engineering for compliance with global standards such as GDPR.
Beyond security, the book covers every facet of scalable IoT operations - from network design and data management to device lifecycle orchestration, cloud-native deployment, and operational excellence. Readers will find practical strategies for self-healing networks, federated learning, blockchain integration, and sustainable operation at scale. Concluding with emerging trends like decentralized AI, next-generation connectivity, and ethical impact analysis, "Designing Secure and Scalable IoT Systems" serves as an indispensable reference for navigating the complexities and opportunities of next-generation IoT deployments.
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