This paper explores the construction of intelligence sharing mechanisms in the context of cross-border security law enforcement cooperation. It analyzes intelligence sharing models under different counter-terrorism interests and establishes a corresponding counter-terrorism utility model. An improved PBFT consensus algorithm is adopted to optimize the consensus process. A blockchain-based intelligence transaction and sharing framework is designed to achieve secure and efficient intelligence resource exchange. Through numerical simulation experiments, the performance of the proposed scheme and the evolution of intelligence sharing game processes are explored. When the number of user attributes in the proposed scheme reaches a maximum of 42, the encryption computation time is approximately 183.4 ms, the key generation time is approximately 226.7 ms, and the decryption time is approximately 40.9 ms. These time consumptions are within normal ranges and can meet practical application requirements. The larger the intelligence sharing cooperative benefit coefficient/penalty coefficient between the two parties, the more it promotes national intelligence sharing.
