Electrical Engineering and Computer Science Faculty Publications
Document Type
Conference Proceeding
Publication Title
Proceedings of the International Florida Artificial Intelligence Research Society Conference, FLAIRS
Abstract
Secure auctions and machine learning in cloud in-creasingly employs multi-party and homomorphic en-cryption support. A modification to Elgamal public key cryptosystem was shown to enable homomorphic division using an encoding of plaintext as fractions with numerator and denominator encrypted separately. However we notice that unlike for other homomorphic cryptography schemes, the obtained division homomorphism allows for the retrieval of the input secrets from the result of the division. Since this cancels the benefit of the encryption, we propose the introduction of a masking operation based on random factors and discuss its success with operations in Zp and Q. © 2023 by the authors. All rights reserved.
DOI
10.32473/flairs.36.133266
Publication Date
2023
Recommended Citation
Silaghi, Marius and Alsulami, Ameerah, "On Enhancing Security for Division Homomorphism with ElGamal" (2023). Electrical Engineering and Computer Science Faculty Publications. 309.
https://repository.fit.edu/ces_faculty/309