Research on Data Privacy Protection Mechanisms in Large-Scale Distributed Network Environments

Abstract

With the rapid development of large-scale distributed network technologies, data privacy protection has become a crucial issue in the field of information security. The complexity and data mobility in distributed network environments significantly increase the risk of privacy leakage, presenting many challenges to traditional data protection mechanisms. This paper aims to explore data privacy protection mechanisms in large-scale distributed network environments, analyze the current privacy protection challenges, and propose solutions in the context of new technologies. By studying techniques such as anonymization, differential privacy, blockchain, and artificial intelligence, this paper proposes adaptive and effective privacy protection strategies, providing new perspectives and directions for future privacy protection research.