AIoT-Based Security Systems for Smart Homes and Smart Buildings: A Tertiary Study

The rapid evolution of Smart Homes and Smart Buildings is driven by the transition from the Internet of Things (IoT) to the Artificial Intelligence of Things (AIoT). Within this scenario, Security Systems are particularly critical and data-intensive systems. Despite extensive research, a high-level synthesis focusing exclusively on the synergy between AIoT and Security Systems in Smart Home and Smart Building application domains is still lacking. To bridge this gap, this paper presents a systematic Tertiary Study (TS) following a well-known research protocol. 13 Secondary Studies (SSs) were synthesized and discussed from an initial pool of 139 publications (years 2024–2025). Findings reveal that monitoring is the most addressed system, followed by security and alarm, while surveillance and access control remain comparatively underexplored. Moreover, results highlight a definitive shift toward Edge and Fog computing to meet latency and privacy requirements, whereas Deep Learning and Ensemble Learning techniques predominate for anomaly detection and predictive maintenance. This study identifies open challenges and future research directions, providing a foundational roadmap for resilient, cognitive-driven security infrastructures in smart environments.