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Research Review on the Application of Homomorphic Encryption in Database Privacy Protection

Research Review on the Application of Homomorphic Encryption in Database Privacy Protection

Yong Ma, Jiale Zhao, Kangshun Li, Yuanlong Cao, Huyuan Chen, Youcheng Zhang
Copyright: © 2021 |Volume: 15 |Issue: 4 |Pages: 22
ISSN: 1557-3958|EISSN: 1557-3966|EISBN13: 9781799859857|DOI: 10.4018/IJCINI.287600
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MLA

Ma, Yong, et al. "Research Review on the Application of Homomorphic Encryption in Database Privacy Protection." IJCINI vol.15, no.4 2021: pp.1-22. http://doi.org/10.4018/IJCINI.287600

APA

Ma, Y., Zhao, J., Li, K., Cao, Y., Chen, H., & Zhang, Y. (2021). Research Review on the Application of Homomorphic Encryption in Database Privacy Protection. International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), 15(4), 1-22. http://doi.org/10.4018/IJCINI.287600

Chicago

Ma, Yong, et al. "Research Review on the Application of Homomorphic Encryption in Database Privacy Protection," International Journal of Cognitive Informatics and Natural Intelligence (IJCINI) 15, no.4: 1-22. http://doi.org/10.4018/IJCINI.287600

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Abstract

With the advent and development of database applications such as big data and data mining, how to ensure the availability of data without revealing sensitive information has been a significant problem for database privacy protection. As a critical technology to solve this problem, homomorphic encryption has become a hot research area in information security at home and abroad in recent years. The paper sorted out, analyzed, and summarized the research progress of homomorphic encryption technology in database privacy protection. Moreover, the application of three different types of homomorphic encryption technology in database privacy protection was introduced respectively, and the rationale and characteristics of each technique were analyzed and explained. Ultimately, this research summarized the challenges and development trends of homomorphic encryption technology in the application of database privacy protection, which provides a reference for future research.