ScholarWorks@Korea University

Browsing by Jin, SunghyunAuthor

All A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
전체 가 나 다 라 마 바 사 아 자 차 카 타 파 하

Showing results 1 to 6 of 6

SCIESCOPUS
A Novel Side-Channel Archive Framework Using Deep Learning-Based Leakage Compressionopen access

Jung, Sangyun; Jin, Sunghyun; Kim, Heeseok

ArticleIssue Date2024CitationIEEE ACCESS, v.12, pp 105326 - 105336PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
SCIESCOPUS
Enhanced Side-Channel Analysis on ECDSA Employing Fixed-Base Comb Methodopen access

Jin, Sunghyun; Cho, Sung Min; Kim, HeeSeok; Hong, Seokhie

ArticleIssue Date2022CitationIEEE TRANSACTIONS ON COMPUTERS, v.71, no.9, pp 2341 - 2350PublisherIEEE COMPUTER SOC
SCIESCOPUS
Enhancing Time-Frequency Analysis with Zero-Mean Preprocessing

Jin, Sunghyun; Johansson, Philip; Kim, HeeSeok; Hong, Seokhie

ArticleIssue Date2022CitationSENSORS, v.22, no.7PublisherMDPI
SCIESCOPUSKCI
Recent advances in deep learning-based side-channel analysis

Jin, Sunghyun; Kim, Suhri; Kim, HeeSeok; Hong, Seokhie

ArticleIssue Date2020CitationETRI JOURNAL, v.42, no.2, pp 292 - 304PublisherWILEY
SCIESCOPUS
Side-Channel Vulnerabilities of Unified Point Addition on Binary Huff Curve and Its Countermeasure

Cho, Sung Min; Jin, Sunghyun; Kim, Heeseok

ArticleIssue Date2018CitationAPPLIED SCIENCES-BASEL, v.8, no.10PublisherMDPI
SCIESCOPUS
Single Trace Side Channel Analysis on NTRU Implementation

An, Soojung; Kim, Suhri; Jin, Sunghyun; Kim, HanBit; Kim, HeeSeok

ArticleIssue Date2018CitationAPPLIED SCIENCES-BASEL, v.8, no.11PublisherMDPI
1
CONTACT US

RSS_1.0 RSS_2.0 ATOM_1.0

145 Anam-ro, Seongbuk-gu, Seoul, 02841, Korea+82-2-3290-2963

COPYRIGHT © 2021 Korea University. All Rights Reserved.

Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.

BROWSE

한국어