Preserving Privacy of Data in Distributed Systems Using Homomorphic Encryption

Kalyani, P.; Masooda, M.; Namrata, P.

doi:10.1007/978-981-15-6584-7_30

Cited by 1 publication

(1 citation statement)

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“…The security of the ElGamal system is by the difficulty of discrete logarithms. And the ElGamal algorithm is based on operations on a finite field, whose feature is that the ciphertext is composed of two parts and meets the multiplicative homomorphic functions, suitable for secure storage of cloud database (Kalyani, P. et al, 2021). Jia, Z. et al (2012) created privacy protection that can access control model based on secret sharing and ElGamal homomorphic attributes.…”

Section: Database Privacy Protection Scheme Based On Elgamalmentioning

confidence: 99%

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

Zhao

Li³

et al. 2021

International Journal of Cognitive Informatics and Natural Intelligence

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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.

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Section: Database Privacy Protection Scheme Based On Elgamalmentioning

confidence: 99%