Privacy calculation method based on distributed storage

The invention discloses a privacy computing method based on distributed storage, and the method comprises the steps: obtaining a secret key through a KMS server, encrypting data and a code, and then uploading the data and the code to a distributed storage block chain; a data requester requests the encrypted data and codes, and authorization information is recorded after the request is passed; the KMS server receives the task, the calculation party receiving the task confirms the authorization information again to the KMS server, the authorization information is ensured to be accurate, and the calculation party is arranged to prevent the data requester from directly contacting the code and the data and reduce the possibility of leakage of the code and the data; and the data is uploaded to the distributed storage block chain for encrypted storage, so that the storage security of the data and the codes can be ensured, and the data and the codes are prevented from being tampered. 本发明公开了一种基于分布式存储的隐私计算方法，其中通过KMS服务器