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Courier tracking number stolen and express list information are not protected carefully that may cause privacy leakage. So this paper proposed a new K-anonymity model to protect express information. Unlike most anonymity methods, this method anonymized data by randomly breaking links among attribute values in records. By data randomization, this method maintained statistical relations among data to preserve knowledge, whereas in most anonymization methods, knowledge was lost. Further more, it proposed the algorithm for extra privacy protection to tackle the situation where the user's prior knowledge of original data may cause privacy leakage. Simulation results show that the new K-anonymity method can enhance privacy protection and improve the accuracy of the knowledge protection. [ABSTRACT FROM AUTHOR]