In vehicular ad hoc networks (VANET), effective trust establishment with authentication is an important requirement. Trust management among communicating vehicles is significant for secure message transmission; however, very less contributions have been made towards evaluating the trustworthiness of the node. This research work intends to introduce a new trust management system in VANET with two major phases: secured message transmission and node trustability prediction. The security assured message passing is carried out by incorporating the privacy preservation model under the data sanitization process. The key used for the sanitization process is optimally tuned by a new hybrid algorithm termed Sea Lion Explored-Whale Optimization Algorithm, which is the combination of Whale Optimization Algorithm and Sea Lion Optimization Algorithm, respectively. The blockchain technology is assisted to handle the key generated by the nodes. Subsequently, the trustability of the node is evaluated under novel specifics “two-level evaluation process” with a rule-based and machine learning-based evaluation process. Finally, the performance of the proposed model is verified and proved over other conventional methods for certain measures.

在车辆自组织网络（VANET）中，通过身份验证建立有效的信任是一项重要的要求。通信工具之间的信任管理对于安全的消息传输非常重要。但是，在评估节点的可信赖度方面所做的贡献很少。这项研究工作旨在在VANET中引入一个新的信任管理系统，该系统分为两个主要阶段：安全消息传输和节点信任度预测。通过在数据清理过程中合并隐私保护模型来执行安全保证的消息传递。通过新混合算法（称为“海狮探索-鲸鱼优化算法”）优化了消毒过程的关键，该算法是鲸鱼优化算法和海狮优化算法的结合，分别。区块链技术可协助处理节点生成的密钥。随后，通过基于规则和基于机器学习的评估过程，在新颖的细节“两级评估过程”下评估节点的可信度。最后，对于某些措施，该模型的性能得到了验证，并优于其他常规方法。