In the process of participatory sensing, not only data matching level but also data variation is required by users. In order to meet the aforementioned two requirements, meanwhile, to protect users' preference privacy, a privacy-preserving various data sharing protocol was proposed. Firstly, both interactive data were processed to two sets of integer and Counting Bloom Filter (CBF) was utilized to calculate the intersection of the two sets of integer, the result of which was used as data matching level. Secondly, the function to delete elements of CBF was utilized to calculate the value of various data. Lastly, the data matching level and the difference between various data were compared with pre-set threshold, so as to decide whether they complied with interactive condition. In the meantime, the structuring method of CBF was improved to protect users' preference privacy. Theoretical analysis and experiment results show the following facts: compared with protocols based on non-cryptographic Bloom Filter (BF), the problem of relatively large results is overcome and computational overhead is saved by more than 50%. Users' preference privacy is protected and the need of various data is met in the proposed protocol. In addition, the proposed protocol enjoys higher matching precision and efficiency.