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A database is a prime target for cyber-attacks as it contains confidential,sensitive, or protected information. With the increasing sophistication of theinternet and dependencies on internet data transmission, it has become vital tobe aware of various encryption technologies and trends. It can assist insafeguarding private information and sensitive data, as well as improve thesecurity of client-server communication. Database encryption is a procedurethat employs an algorithm to convert data contained in a database into "ciphertext," which is incomprehensible until decoded. Homomorphic encryptiontechnology, which works with encrypted data, can be utilized in both symmetricand asymmetric systems. In this paper, we evaluated homomorphic encryptiontechniques based on recent highly cited articles, as well as compared alldatabase encryption problems and developments since 2018. The benefits anddrawbacks of homomorphic approaches were examined over classic encryptionmethods including Transparent Database Encryption, Column Level Encryption,Field Level Encryption, File System Level Encryption, and Encrypting FileSystem Encryption in this review. Additionally, popular databases that provideencryption services to their customers to protect their data are also examined.

Comparative evaluation of different methods of "Homomorphic Encryption"  and "Traditional Encryption" on a dataset with current problems and  developments