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Classification basing on Privacy-preserving is one of the hottest spots in the field of data mining in recent years. This paper studies how to identify suspicious financial transactions under the privacy-preserving of classification algorithm. The research is studied on multi-data that from several parts by using Scalar Product Protocol under the privacy-preserving. The experimental results show that this method is a effective way for financial institutions to improve the efficiency of identify Money-laundering transactions.