Simulation of Blockchain Information Protection Prediction Model Based on Machine Learning

With the rapid development of blockchain, blockchain-based outsourcing computing has been widely used. Outsourcing computing allows users with limited resources to outsource complex computing to those with powerful resources by paying for it, so that they can easily obtain the computing results. However, users' privacy data may be leaked in the process of outsourcing computing, so the privacy, security and verifiability of computing results of users should be considered in the process of outsourcing computing. Blockchain is a technology for building distributed databases, which has the characteristics of decentralization. The data added to the blockchain is collectively maintained by the system participants, and is permanently recorded, so it can't be tampered with. The intelligent bidding scheme based on blockchain privacy protection proposed in this paper gives full play to the decentralized, tamper proof and other characteristics of the blockchain. At the same time, homomorphic encryption technology is used to ensure data privacy, and data statistics and analysis function is realized. In the bidding prediction stage, this paper introduces a fuzzy neural network model to simulate the human brain thinking mode, thus increasing the system’s "thinking" ability.