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This paper systematically builds a theoretical framework for enhancing data integrity and privacy protection by analyzing the fundamentals of blockchain technology and its inherent characteristics, such as decentralization, tamperability, and cryptographic algorithms. The study empirically examines the transparency and anonymity balance mechanism of blockchain in handling sensitive data using case studies and simulation experiments, and at the same time, designs smart contracts to automatically implement data protection strategies for different types of data security threats.
Xianghui Meng (Wed,) studied this question.
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