NEUROMORPHIC COMPUTING AND TRUSTED SYSTEMS FOR SMART DEVICES

This volume presents advanced research at the intersection of intelligent hardware, secure computing, and Internet of Things (IoT) systems. By addressing architectural innovation, cybersecurity, and practical implementation, the book reflects current efforts to build efficient, trustworthy, and sustainable digital infrastructures. The chapter on cognitive microcontrollers introduces a hybrid neuromorphic–RISC architecture designed for ultra-low-power on-device intelligence, highlighting new directions in edge computing and embedded AI. Complementing this perspective, the discussion on trusted computing systems focuses on securing digital music production environments, emphasizing integrity, privacy, and rights management in creative digital workflows. Security and sustainability challenges are examined through an analysis of malware threats in green IoT ecosystems over the 2020–2025 period. This contribution assesses attack trends, energy impacts, and the growing role of AI-driven defense mechanisms in protecting resource-constrained and environmentally conscious systems. The volume concludes with a comprehensive overview of IoT system architecture and implementation, detailing the integration of ESP32 platforms, communication protocols, and supporting tools and frameworks. Collectively, the chapters provide theoretical insight and practical guidance for researchers and practitioners developing next-generation intelligent and secure IoT solutions.