Abstract: In view of the serious risk of data privacy disclosure in the process of power business transactions, in order to ensure the privacy security of power business transaction data, a method of power business transaction data privacy protection considering cloud-side collaboration is studied. Build a method framework for privacy protection of power business transaction data that takes into account cloud-end-end collaboration, use the end layer to collect power business transaction data, and transfer the data to the edge layer; The edge layer uses the neural network model based on information entropy to divide the power business transaction data categories and mine the user identity data and transaction amount data. For various types of data, the supervised blockchain transaction data encryption technology is adopted to protect the real identity of the transaction user through the probabilistic public key encryption algorithm, and the transaction amount data privacy is protected based on the commitment scheme and zero-knowledge proof technology. The cloud layer processes and stores the data transmitted by the edge layer, and completes the cloud - edge - end resource collaborative scheduling. The experimental results show that the queuing delay of cloud layer, edge layer and end layer data in this method is less than 25ms, which can achieve better cloud-edge-end collaboration, and the key has high randomness, which can effectively prevent the disclosure of transaction data.