Introduction
The rapid deployment of Internet of Things (IoT) devices, smart city infrastructures, and cyber-physical systems (CPS) has significantly increased exposure to complex and evolving security threats. Conventional security mechanisms are increasingly inadequate in addressing large-scale, heterogeneous, and dynamic cyber–physical environments. Recent advances in artificial intelligence (AI) have enabled the development of intelligent, adaptive, and scalable security solutions with strong potential for patented engineering innovations.
This Thematic Issue aims to present recent patent-oriented research and engineering advancements in AI-enabled security solutions for IoT, smart cities, and CPS. The focus is on novel algorithms, system architectures, and implementation frameworks that support intrusion detection, anomaly analysis, resilient system control, and secure cyber–physical integration. Emphasis is placed on practical applicability, industrial relevance, and emerging patent trends, aligning with the scope of Recent Patents on Engineering. The issue seeks to bridge academic research and intellectual property development, supporting secure and sustainable next-generation intelligent infrastructures.
Keywords
Artificial intelligence, IoT security, smart cities, cyber-physical systems, intrusion detection, machine learning, deep learning, cybersecurity engineering, edge intelligence, explainable AI, adversarial robustness, patented technologies.
Sub-topics
AI-Based Intrusion Detection and Prevention Systems for IoT
Security Architectures and Patented Solutions for Smart Cities
Machine Learning and Deep Learning Models for Cyber-Physical Threat Detection
Edge, Fog, and Cloud-Assisted Intelligent Security Frameworks
Federated and Privacy-Preserving Learning for Secure IoT Environments
Explainable and Trustworthy AI for Safety-Critical Systems
Adversarial Attacks, Robust AI Models, and Defensive Engineering
Blockchain-Enabled and Zero-Trust Security Architectures
Secure Communication, Authentication, and Access Control Mechanisms
AI-Driven Anomaly Detection in Industrial and CPS Networks
Secure Data Aggregation and Privacy Protection Techniques
Patent Landscape Analysis and Emerging Trends in AI-Enabled Cybersecurity
Engineering Case Studies and Deployment of Intelligent Security Systems
Integration of Digital Twins for Cyber-Physical Security Monitoring
