SECURE AND INTELLIGENT IOT SYSTEMS: ARCHITECTURES, THREATS, AND DEFENSE

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Authors: Abdelkrim Mebarki, Karim DABBABI, Moses Adeolu AGOI, Gbenga Ogunsanwo, Emmanuel Taiwo AGOI, Benjamin Olumide BAMIDELE, Bimal Kumar MISHRA, Hmidi Alaeddine
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Abstract

This book brings together advanced research that explores the design, security, and sustainability of intelligent and connected computing systems. The chapters collectively reflect the rapid evolution of embedded intelligence, trusted digital environments, and Internet of Things (IoT) architectures in response to growing demands for efficiency, security, and scalability. The chapter Cognitive Microcontrollers: A Hybrid Neuromorphic– RISC Architecture for Ultra-Low-Power On-Device Intelligence introduces a novel hardware paradigm that enables intelligent processing at the edge with minimal energy consumption. This innovation is complemented by Engineering Trusted Computing Systems for Secure Digital Music Production Environments, which addresses the need for secure, reliable computing infrastructures in creative and digital content production workflows. Security and sustainability concerns are further examined in Malware Threats in Green IoT: Five Years of Attacks, Energy Impacts, and AI-Driven Defense (2020–2025). This chapter provides a comprehensive analysis of evolving cyber threats in energy-aware IoT systems and highlights the role of artificial intelligence in strengthening defensive mechanisms while preserving system efficiency. The final chapter, Architecture and Implementation of IoT Systems: Integration of ESP32, Communication Protocols, Platforms, Tools and Frameworks for the IoT, offers a practical perspective on building and deploying robust IoT solutions. Together, these chapters present a cohesive view of how intelligent hardware, secure computing, and scalable IoT architectures can be integrated to support next-generation digital ecosystems.

Fields of Study & Subjects

IoT and Edge/Fog Computing Internet of Things and AI Network Security and Intrusion Detection

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
19 January 2026
Language
EN
Document type
Book chapter