Ensuring secure and reliable data transmission is a critical challenge in IoT networks. This paper introduces a trust-based aggregation mechanism designed to enhance security by dynamically evaluating the trustworthiness of nodes. The proposed system employs a comprehensive trust-scoring methodology that incorporates direct interactions, indirect feedback, and core-based assessments to identify and exclude unreliable or malicious nodes. By preventing unauthorized access and promoting data integrity, the mechanism provides robust protection against potential threats while maintaining efficient data transmission. Simulation results demonstrate the effectiveness of the approach by achieving high data delivery success rates and minimal latency, making it a scalable and secure solution for real-world IoT applications.