Application of Blockchain Equity System for Machine Learning and Network Security

This paper mainly studies how to apply machine learning and network security to the blockchain equity system to improve the efficiency and privacy of equity transactions of rural economic cooperatives and maintain the stability of rural revitalization. This paper analyzes the potential application value of machine learning and big data algorithms in equity transactions of economic cooperatives, including network security, risk assessment, and smart contracts. This paper proposes a framework scheme of blockchain equity system based on machine learning and big data algorithms, establishes a network security equity system with data tampering, provides a credible data management mechanism, has distributed storage functions, and realizes automatic network consensus and smart contract applications. Experimental results show that the proposed scheme can effectively improve the efficiency and privacy security of equity trading, and provide new ideas and network security support for the development of equity trading.