In the realm of Vehicular Ad-Hoc Networks (VANETs), the confluence of an open-access data transmission environment and the imperative to ensure privacy and security poses multifaceted challenges. This study delves into the intricate landscape of VANETs, characterized by data transmission vulnerabilities, to address the pressing concerns of user information protection and network integrity. The core emphasis of this investigation lies in fortifying VANET security through a meticulous approach that amalgamates an attack tree-based model with a robust trust-based evaluation system. In striving to augment privacy and reliability within VANET systems, the study undertakes a comprehensive exploration of security requisites encompassing availability, integrity, and confidentiality. Central to the proposed framework is the strategic deployment of an attack tree model, meticulously constructed to encapsulate potential attack strategies. This model is further synergized with a dynamic integration of trust evaluation and clustering mechanisms, culminating in an agile and effective security architecture. Specifically, a VANET system is instantiated with an initial set of 20 nodes, thereafter subjected to varying node densities post simulated attack scenarios. The orchestrated interplay among Roadside Units (RSUs), nodes, and routing protocols affords a visual elucidation of data packet transmission dynamics, concurrently facilitating the prompt identification of potentially malicious nodes. In conclusion, this study contributes a holistic approach to VANET security enhancement, optimizing bandwidth allocation without compromising node integrity. The synthesis of attack tree modeling and trust-based evaluation engenders an overarching security paradigm for VANETs, fostering privacy, dependability, and overall network resilience.