완전동형암호로 암호화된 데이터에 적합한 산술 가산기의 구현 및 성능향상에 관한 연구

Translated title of the contribution: Implementation and Performance Enhancement of Arithmetic Adder for Fully Homomorphic Encrypted Data

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper, we propose an adder that can be applied to data encrypted with a fully homomorphic encryption scheme and an addition method with improved performance that can be applied when adding multiple data. The proposed arithmetic adder is based on the Kogge-Stone Adder method with the optimal circuit level among the existing hardware-based arithmetic adders and suitable to apply the cryptographic SIMD (Single Instruction for Multiple Data) function on encrypted data. The proposed multiple addition method does not add a large number of data by repeatedly using Kogge-Stone Adder which guarantees perfect addition result. Instead, when three or more numbers are to be added, three numbers are added to C (Carry-out) and S (Sum) using the full-adder circuit implementation. Adding with Kogge-Stone Adder is only when two numbers are finally left to be added. The performance of the proposed method improves dramatically as the number of data increases.
Translated title of the contributionImplementation and Performance Enhancement of Arithmetic Adder for Fully Homomorphic Encrypted Data
Original languageKorean
Pages (from-to)413-426
Number of pages14
Journal정보보호학회논문지
Volume27
Issue number3
DOIs
StatePublished - 2017

Fingerprint

Dive into the research topics of 'Implementation and Performance Enhancement of Arithmetic Adder for Fully Homomorphic Encrypted Data'. Together they form a unique fingerprint.

Cite this