Data Storage Optimization and Privacy Protection Mechanism in Cloud Computing Environment

In this paper, an intelligent storage optimization module is proposed, which uses data preprocessing technology and machine learning prediction model to realize efficient allocation of storage space and improve data access efficiency. In terms of privacy protection, this paper discusses the application of cryptography technology in data security and privacy protection, and analyzes the research status of data security query, sharing and differential privacy protection based on cryptography. A multi-keyword searchable encryption scheme based on elliptic curve encryption is proposed, which effectively improves the security and efficiency in the process of traversing files. In this paper, a multi-level privacy protection module is designed to ensure the confidentiality, integrity and availability of user data through data encryption, access control, data desensitization and anonymity. In order to improve the efficiency of data storage and the level of privacy protection, this paper proposes a technical framework that combines intelligent storage optimization module, multi-level privacy protection module and unified management and monitoring module. Through the cooperative working mechanism of encryption, access control and data backup and recovery, the security of each stage of data life cycle is realized. The experimental results show that the technical framework is superior to the traditional scheme in data storage speed, access delay and throughput, and shows excellent security in encryption algorithm strength and access control strategy accuracy. This paper has made important research achievements in data storage optimization and privacy protection mechanism in cloud computing environment, which provides solid technical support and guarantee for the development of cloud computing technology.