The Internet of Ships (IoS) serves as an interactive platform for the dissemination of navigation-related information events. Such notifications enhances the situational awareness for the ships in the navigational environment. However, amidst the complex flow of event information, verifying the authenticity of specific events has emerged as a critical challenge that requires immediate resolution. This study addresses this issue by leveraging the decentralized and distributed computing capabilities of blockchain to establish a reliable information exchange protocols on IoS. A comprehensive framework is proposed to determine the authenticity of navigational events and manage trust in the IoS context. This framework adopts information filtering to compute the overall similarity between ships, and applies a Bayesian inference model to verify the authenticity of events. At the same time, a reputation update mechanism is introduced to detect and label malicious ships. In addition, a delegated proof of stake (DPoS) consensus mechanism is developed that depends on the reputation values of ships. This mechanism prioritizes the selection of ships with higher reputation values as witness ships to maintain the stability and efficiency of the system"s blocking environment. Empirical results demonstrate the effectiveness of the proposed scheme, showing that under conditions of 40% ship misuse, the accuracy of authenticating navigational events remains above 75%. The study confirms that the proposed scheme not only improves the accuracy of authenticity determination, but also skillfully identifies and restricts the activities of malicious vessels. This helps to strengthen the security and stability of the IoS environment.