Srilata
Blockchain and Deep Learning Architectures for Secure IoT Systems examines the integration of blockchain technology, deep learning, and Internet of Things architectures for developing secure and intelligent connected systems. The book introduces fundamental concepts in IoT communication, distributed computing, blockchain, machine learning, and deep neural networks, with emphasis on security-oriented applications. It explores how blockchain can support decentralized trust, data integrity, authentication, and secure information exchange across interconnected IoT devices. Deep learning architectures are considered in relation to intelligent data analysis, pattern recognition, predictive processing, and automated decision support within IoT environments. Attention is given to the interaction between computational resources, connected devices, network communication, distributed architectures, and security requirements. The book also discusses technical considerations associated with designing intelligent and secure IoT frameworks, including data management, device connectivity, computational processing, and reliable information exchange. It provides a technical reference for students, researchers, computer engineers, cybersecurity professionals, IoT developers, and practitioners working in artificial intelligence, blockchain, distributed systems, network security, and connected-device technologies.
