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Computation of Numbers using Homomorphic Encryption

Gangula, Sunil (2022) Computation of Numbers using Homomorphic Encryption. Masters thesis, Dublin, National College of Ireland.

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The fundamentals of homomorphic encryption has recently received wide acceptance in the domain of encryption. The idea of being able to perform various mathematical operations on arithmetic data and later encrypting it with generated keys in such a manner that only a legit user can access to the encrypted data has been fascinating to the research scholars. Therefore, the presented thesis utilizes the homomorphic scheme and proposes a method to perform mathematical operations such as addition and multiplication on numbers being provided by the user. The process includes obtaining a plain text from the user and converting it into a cipher text that can be decrypted on the user end. The primary focus is to eliminate the noise that comes along with the input and attach it with a secret key so that the plain text is converted into a cipher text. On the other hand, the cipher text can be decrypted back to plain text by using the public key to get the approximated value on determination of addition and multiplication. The thesis also includes techniques of learning with error and ring learning with error. The final evaluation of the thesis is done on the basis of output so generated by the model.

Item Type: Thesis (Masters)
Uncontrolled Keywords: Cryptography; Homomorphic encryption; Cloud security; Partial Homomorphic Encryption
Subjects: Q Science > QA Mathematics
Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science
Q Science > QA Mathematics > Computer software > Computer Security
T Technology > T Technology (General) > Information Technology > Computer software > Computer Security
Divisions: School of Computing > Master of Science in Cyber Security
Depositing User: Tamara Malone
Date Deposited: 19 Dec 2022 16:03
Last Modified: 06 Mar 2023 17:43

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