IoT Security Risk Assessment for Smart Homes

          The rapid expansion of smart home environments, fueled by the rise of Internet of Things (IoT) devices such as smart locks, cameras, voice assistants, and various sensors, has heightened concerns surrounding cybersecurity. These devices often contain vulnerabilities that expose users to threats including unauthorized access, data theft, device manipulation, botnet infections, and privacy breaches. This research introduces a Cybersecurity Risk Assessment Model (CRAM) specifically designed for smart home IoT ecosystems. The model evaluates risk using factors such as device vulnerability level, threat exposure, impact severity, exploit likelihood, and user security behavior. By integrating structured threat modeling, risk scoring methods, and mitigation mapping, the model supports both consumers and developers in identifying, prioritizing, and addressing IoT-related security issues. Experimental evaluation demonstrates that CRAM enhances risk detection accuracy and improves decision-making for vulnerability mitigation within smart home environments.