This research introduces the House of Smart Grid Security model, an integrated security framework that unifies technical, psychological, and policy dimensions to address the unique security challenges of the smart grids. By incorporating multicriteria decision analysis and complementary modeling techniques, the study identifies key social factors influencing consumer trust and formulates tailored security responses based on these insights. The findings demonstrate the model’s effectiveness in evaluating the complex interplay between psychological, policy, and technical elements impacting smart grid security. Notable outcomes include the identification and ranking of critical motivating factors, visualization of security requirements, and the simplification of algorithms for vulnerability mitigation. The study emphasizes the necessity of integrating both technical and non-technical considerations into security frameworks to effectively address consumer concerns and support the wider adoption of smart grid technologies.