Heedong Yang

  • Computer Security Researcher

  • Ph.D Student in Computer Science and Engineering at Korea University

  • Member of SSP Lab @ Korea Univ.

  • My research interest is in Software Security with a focus on Binary Analysis for SCA

  • Work Experience

    2022.03 ~ 2024.02
    KAIST CSRC

    Cyber Security Research Center, KAIST

    Researcher / Binary Analysis Team

    Research Interest

    Binary Analysis

    • Binary Analysis for SCA
    • Binary Code Similarity Detection

    Data anonymization

    • Privacy Preserving Data Publishing (PPDP)
    • Analysis of the Password Leaking

    A.I Security

    • Vulnerability Exploitability Prediction using A.I
    • Mouse Data Protection using GAN

    Architectural Security & Etc

    • ARM TrustZone & kernel Vulnerability Analysis
    • Binary Force execution of Anti-VM/Debug Binary

    Talks & Presentations

  • Aug. 2019, "Suitability verification for NVD Reference Feature used in predicting vulnerability exploitation" - Samsung Security Tech Forum 2019 Open Tech Talk (Speaker), Seoul, South Korea.
  • Awards & Honors

  • Nov. 2021, CISC-W'21 Best Paper Award
  • Sep. 2020, SMA-2020 Best Paper Award (Bronze)
  • Jun. 2020, CISC-S'20 Best Paper Award
  • Sep. 2019, KIISC-CC'19 Best Paper Award
  • Publication

    Publications Journal & Conference

              More details (Google Scholar)
    2023.12
    정보과학회논문지 KCI

    상관관계 지표를 이용한 익명 데이터의 유용성 측정

    홍용기, 고기혁, 양희동 류찬호 and 류승환. (2023). 상관관계 지표를 이용한 익명 데이터의 유용성 측정, 50(12), 1163-1173.
    https://doi.org/10.5626/JOK.2023.50.12.1163

    2023.12
    APSEC 2023

    On the Effectiveness of Synthetic Benchmarks for Evaluating Directed Grey-box Fuzzers

    Haeun Lee, Heedong Yang, Su Geun Ji and Sang Kil Cha (2023). On the Effectiveness of Synthetic Benchmarks for Evaluating Directed Grey-box Fuzzers. In Proceedings of the 2023 Asia-Pacific Software Engineering Conference 2023.
    https://doi.org/10.1109/APSEC60848.2023.00011

    2023.11
    정보과학회논문지 KCI

    프라이버시 보호 데이터 배포: 정형 및 비정형 데이터 비식별화 기술 동향

    홍용기, 고기혁, 양희동 and 류승환. (2023). 프라이버시 보호 데이터 배포: 정형 및 비정형 데이터 비식별화 기술 동향. 정보과학회논문지, 50(11), 1008-1029.
    https://doi.org/10.5626/JOK.2023.50.11.1008

    2023.10
    한국컴퓨터정보학회논문지 KCI

    데이터 특성 분석 기반 프라이버시 모델 추천 시스템

    류승환, 홍용기, 고기혁, 양희동 and 김종완. (2023). 데이터 특성 분석 기반 프라이버시 모델 추천 시스템. 한국컴퓨터정보학회논문지, 28(9), 81-92.
    http://journal.kci.go.kr/jksci/archive/articleView?artiId=ART002998509

    2022.10
    정보보호학회논문지 KCI

    가상키보드 비밀번호 유출 분석

    양희동 & 이만희. (2022). 가상키보드 비밀번호 유출 분석. 정보보호학회논문지, 32(5), 827-835.
    https://doi.org/10.13089/JKIISC.2022.32.5.827

    2020.12
    정보보호학회논문지 KCI

    함수 단위 N-gram 비교를 통한 Spectre 공격 바이너리 식별 방법

    김문선, 양희동 , 김광준, & 이만희. (2020). 함수 단위 N-gram 비교를 통한 Spectre 공격 바이너리 식별 방법. 정보보호학회논문지, 30(6), 1043-1052.
    https://doi.org/10.13089/JKIISC.2020.30.6.1043

    2020.12
    ICEA 2020

    Machine Learning based Malware Detection with the 2019 KISA Data Challenge Dataset

    Soonhong Kwon, Heedong Yang , Manhee Lee and Jonghyouk Lee.(2020, December). Machine Learning based Malware Detection with the 2019 KISA Data Challenge Dataset. In Proceedings of the 2020 ACM International Conference on Intelligent Computing and its Emerging Applications (pp. 1-4).
    https://doi.org/10.1145/3440943.3444745

    2020.08
    SMA 2020

    Demystifying ARM TrustZone TEE Client API using OP-TEE

    Best Paper Award (Bronze)

    Heedong Yang and Manhee Lee. 2020. Demystifying ARM TrustZone TEE Client API using OP-TEE. In The 9th International Conference on Smart Media and Applications (SMA 2020), September 17–19, 2020, Jeju, Republic of Korea. ACM, New York, NY, USA, 4 pages.
    https://doi.org/10.1145/3426020.3426113

    2020.04
    Applied Sciences 2020 SCIE

    Better Not to Use Vulnerability’s Reference for Exploitability Prediction

    Heedong Yang, Seungsoo Park, Kangbin Yim and Manhee Lee. Better Not to Use Vulnerability’s Reference for Exploitability Prediction. Appl. Sci. 2020, 10, 2555. https://doi.org/10.3390/app10072555

    2019.06
    IMIS 2019

    A Survey on Attack Cases Exploiting Computer Architectural Vulnerabilities

    Kwangjun Kim, Heedong Yang, Byeonggeun Son, Hanjae Yoon, Kangbin Yim and Manhee Lee. (2019, July). A Survey on Attack Cases Exploiting Computer Architectural Vulnerabilities. In International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (pp. 834-844). Springer, Cham.
    https://doi.org/10.1007/978-3-030-22263-5_80

    Contact

    Get in Touch

    Seoul, South Korea

    heedongy[at]korea.ac.kr

    How Can I Help You?