A Review of Business Data Security Based on Differential Privacy Protection
DOI:
https://doi.org/10.54097/ks2bcv56Keywords:
Differential Privacy, Big Data, Privacy Protection, Commercial Data SecurityAbstract
This paper summarizes the current status of the application of differential privacy technology in commercial data protection, and discusses its theoretical foundation, application methods and future development direction. By introducing a random noise mechanism, differential privacy ensures that an attacker cannot infer individual privacy information through statistical analysis during data release or query, while maintaining the analytical value of the data. This paper summarizes the main research results of differential privacy, analyzes its application prospects in the big data environment, and proposes that differential privacy technology has a wide range of application potentials in commercial data protection as well as future research directions.
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