Cybersecurity in the IoT

This Reprint aims to present state-of-the-art methodologies, algorithms, analyses, protocols, and frameworks that address cybersecurity challenges in IoT ecosystems. The contributions in this Reprint reflect the breadth of the field, covering AI-driven security techniques, architectural and protocol-level innovations, domain-specific cybersecurity analyses, and disruptive defensive mechanisms spanning device, network, and cloud-integrated environments. To present a coherent perspective on the field’s evolution, the published works are organized into three thematic groups. The first group establishes the threat landscape and formal foundations of IoT security through surveys, systematization efforts, and domain-specific analyses. The second group focuses on AI-based intrusion and anomaly detection mechanisms that enable intelligent and adaptive defense in large-scale IoT and cyber–physical systems, while the third group of papers highlights secure-by-design architectures, lightweight cryptographic protocols, and privacy-preserving mechanisms that embed security directly into IoT infrastructures. This grouping reflects a logical research trajectory—from understanding vulnerabilities to detecting adversarial behavior and engineering resilient and trustworthy IoT systems—thereby capturing the multidimensional nature of cybersecurity in the Future Internet.