Sunghyun Jin's CV (web)

Experience

• (Sep.2022 ~ Present) Staff engineer, Software Development Team, Memory Business, Device Solutions, Samsung Electronics, Hwaseong-si, Gyeonggi-do, Republic of Korea
  • Stograge Security, Attestation, Endorsement, Root-of-Trust, PCI Security, PKI
  • DMTF SPDM, TCG DICE, PCI-SIG DOE/CMA/IDE/TDISP
• (Mar.2017 ~ Aug. 2022) Graduate student researcher, Center for Information Security Technologies (CIST), Institute of Cyber Security and Privacy (ICSP), Korea University, Seoul, Republic of Korea
  • Cryptographic Engineering, Side-Channel Analysis and its Countermeasures, Implementation Optimization, Machine/Deep Learning-based Cryptanalysis

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Education

• (Mar. 2017 ~ Aug. 2022) Ph.D. in Cybersecurity, Korea University, Seoul, Republic of Korea.
  • Thesis: Algebraic Side-Channel Attack against ECDSA Employing Table-based Scalar Multiplication [link]
  • Supervised by Seokhie Hong (ORCID, Google Scholar) and HeeSeok Kim (ORCID, Google Scholar)
• (Mar. 2015 ~ Feb. 2017) M.E. in Information Security, Korea University, Seoul, Republic of Korea.
  • Thesis: 프로파일링 단계에서 파형 선별을 통한 템플릿 공격의 성능 향상 [link1, link2]
  • Supervised by Seokhie Hong (ORCID, Google Scholar)
• (Mar. 2009 ~ Feb. 2015) B.S. in Mathematics and Computer Science (Double Major), University of Seoul, Seoul, Republic of Korea.
  • serve in the army, 18 Jan 2010 - 7 Nov 2011 : Military service is mandatory duty in Korea
  • Supervised by Jaechul Sung (ORCID, Google Scholar)

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Publication

• International Journal
1. SangYun Jung, Sunghyun Jin, HeeSeok Kim. A Novel Side-Channel Archive Framework Using Deep Learning-based Leakage Compression. IEEE Access, 2024. [Open access, doi, html, pdf]
2. Sunghyun Jin, Sung Min Cho, HeeSeok Kim, Seokhie Hong. Enhanced Side-Channel Analysis on ECDSA Employing Fixed-Base Comb Method. IEEE Transactions on Computers 71.9: 2341-2350, 2022. [Open access, doi, html, pdf]
3. Sunghyun Jin, Philip Johansson, HeeSeok Kim, Seokhie Hong. Enhancing Time-Frequency Analysis with Zero-mean Preprocessing. Sensors 22.7, 2022 [Open access, doi, html, pdf]
4. Sunghyun Jin, Sangyub Lee, Sung Min Cho, HeeSeok Kim, Seokhie Hong. Novel Key Recovery Attack on Secure ECDSA Implementation by Exploiting Collisions between Unknown Entries. IACR Transactions on Cryptographic Hardware and Embedded Systems 2021(4): 1-26, 2021 [Open access, doi, pdf]
   • Presented in CHES 2021 [slide, video, video-short]
5. Sunghyun Jin, Suhri Kim, HeeSeok Kim, Seokhie Hong. Recent advances in deep learning-based sde-channel analysis. ETRI Journal 42.2: 292-304, 2020 [Open access, doi, html, pdf]
6. Soojung An, Suhri Kim, Sunghyun Jin, HanBit Kim, HeeSeok Kim. Single Trace Side Channel Analysis on NTRU Implementation. Applied Sciences 8.11, 2018 [Open access, doi, html, pdf]
7. Sung Min Cho, Sunghyun Jin, HeeSeok Kim. Side-Channel Vulnerabilities of Unified Point Addition on Binary Huff Curve and Its Countermeasure. Applied Sciences 8.10, 2018 [Open access, doi, html, pdf]
• International Conference
1. Suhri kim, Sunghyun Jin, Yechan Lee, Byeonggyu Park, Hanbit Kim, Seokhie Hong. "Single Trace Side Channel Analysis on Quantum Key Distribution. International Conference on Information and Communication Technology Convergence (ICTC), 2018 [doi]
• Domestic Journal
1. SangYun Jung, Sunghyun Jin, HeeSeok Kim. Side-Channel Archive Framework Using Deep Learning-Based Leakage Compression. Journal of the Korea Institute of Information Security and Cryptology, Vol. 34, No. 3, 2024 [doi, pdf]
2. Yechan Lee, Sunghyun Jin, Hanbit Kim, HeeSeok Kim, Seokhie Hong. New Higher-Order Differential Computation Analysis on Masked White-Box AES. Journal of the Korea Institute of Information Security and Cryptology, Vol. 30, No. 1, 2020 [doi, pdf]
3. Donggeun Kwon, Sunghyun Jin, HeeSeok Kim, Seokhie Hong. Improving Non-Profiled Side-Channel Analysis Using Auto-Encoder Based Noise Reduction Preprocessing. Journal of the Korea Institute of Information Security and Cryptology, Vol. 29, No. 3, 2019 [doi, pdf]
4. Byeonggyu Park, Suhri kim, Hanbit Kim, Sunghyun Jin, HeeSeok Kim, Seokhie Hong. Single Trace Analysis against HyMES by Exploitation of Joint Distributions of Leakages. Journal of the Korea Institute of Information Security and Cryptology, Vol. 28, No. 5, 2018 [doi, pdf]
5. Soojung An, Suhri kim, Sunghyun Jin, Hanbit Kim, HeeSeok Kim, Seokhie Hong. Single Trace Side Channel Analysis on NTRUEncrypt Implementation. Journal of the Korea Institute of Information Security and Cryptology, Vol. 28, No. 5, 2018 [doi, pdf]
6. Gayeong Ko, Sunghyun Jin, Hanbit Kim, HeeSeok Kim, Seokhie Hong. Improved Side Channel Analysis Using Power Consumption Table. Journal of the Korea Institute of Information Security and Cryptology, Vol. 27. No. 4, 2017 [doi, pdf]
7. Sunghyun Jin, Taewon Kim, HeeSeok Kim, Seokhie Hong. Power Trace Selection Method in Template Profiling Phase for Improvements of Template Attack. Journal of the Korea Institute of Information Security and Cryptology, Vol. 27, No. 1, 2017 [doi, pdf]
• Domestic Conference
1. Daehyeon Bae, Sunghyun Jin, HeeSeok Kim, Seokhie Hong. 병렬 회로의 잡음 분석을 통한 부채널 분석 및 활용 방안. Conference on Information Security and Cryptography Summer (CISC-S), Korea Institute of Information Security and Cryptology, 2022.06.17.
2. Sunghyun Jin, HeeSeok Kim, Seokhie Hong. 다중 작업 학습을 이용한 딥러닝 기반 부채널 분석 연구. Conference on Information Security and Cryptography Summer (CISC-S), Korea Institute of Information Security and Cryptology, 2020.07.15.
3. Donggeun Kwon, Sunghyun Jin, Hanbit Kim, HeeSeok Kim, Seokhie Hong. 차분 딥러닝 분석 성능 향상을 위한 새로운 구조 제안. Conference on Information Security and Cryptography Winter (CISC-W), Korea Institute of Information Security and Cryptology, 2019.11.30.
4. Yechan Lee, Sunghyun Jin, Hanbit Kim, HeeSeok Kim, Seokhie Hong. 동적 분석 기반 공개키 암호알고리즘의 부채널 취약 구현 평가 연구. Conference on Information Security and Cryptography Winter (CISC-W), Korea Institute of Information Security and Cryptology, 2019.11.30.
5. Sunghyun Jin, Donggeun Kwon, HeeSeok Kim, Seokhie Hong. 논프로파일링 환경에서 CPA 성능향상을 위한 딥러닝 기반 Correlation Optimization 기술 연구. Conference on Information Security and Cryptography Summer (CISC-S), Korea Institute of Information Security and Cryptology, 2019.06.20.
6. Donggeun Kwon, Sunghyun Jin, HeeSeok Kim, Seokhie Hong. Generative Adversarial Networks를 이용한 부채널 분석 성능 향상에 관한 연구. Conference on Information Security and Cryptography Summer (CISC-S), Korea Institute of Information Security and Cryptology, 2019.06.20.
7. Yechan Lee, Sunghyun Jin, Hanbit Kim, HeeSeok Kim, Seokhie Hong. 마스킹 화이트 박스 암호에 대한 새로운 2차 차분 계산 분석 기술 연구. Conference on Information Security and Cryptography Summer (CISC-S), Korea Institute of Information Security and Cryptology, 2019.06.20.
8. Donggeun Kwon, Sunghyun Jin, HeeSeok Kim, Seokhie Hong. 오토인코더 기반 딥러닝을 활용한 부채널 분석 노이즈 제거 기술 연구. Conference on Information Security and Cryptography Winter (CISC-W), Korea Institute of Information Security and Cryptology, 2018.12.08.
• ETC
1. Sunghyun Jin, HeeSeok Kim. 딥러닝을 이용한 부채널 분석 기술 연구 동향. Korea Institute of Information Security and Cryptology, Review of Korea Institute of Information Security and Cryptology, page 43-53, Vol. 30(1), 2020 [html, pdf]

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Patent

1. Seokhie Hong, Soojung An, Sunghyun Jin, DongWon Park. Method for Restorating Prime Number using Thread Information, Device and Computer Readable Medium for Performing the Method”, KR10-2199507-0000, 2020-12-30

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Community Service

• Peer Reviewing
• Reviewer
• Security and Communication Networks, Hindawi (web) : 2019
• Subreviewer
• IACR Asiacrypt (web) : 2019 / IACR TCHES (web) : 2021 issue 1 / MDPI Sensors (web) : 2021 / IEEE Access (web) : 2022 / IEEE TCSII (web) : 2022 / KIISC ICISC (web) : 2023

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Honor

1. Excellence Award in the Theory Category of the National Cryptography Contest, Korea Cryptography Forum, 2021
2. President's Award, Korea University, 2017
3. Grand Prize in the National Cryptography Technology Professional Training Course, National Security Research institute, 2016

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Reference

• Seokhie Hong ([email protected], ORCID, Google Scholar) : Supervisor
• HeeSeok Kim ([email protected], ORCID) : Co-Supervisor

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