Journal (International)

  1. Hierarchical Binary Diffing with Inductive Code Representation Learning with Graph Sampling-and-Aggregate
    Seungho Jeon, Kijong Koo, Daesung Moon, Jung Taek Seo
    Engineering Applications of Artificial Intelligence, vol. 162, iss. Part A, 2025, [doi]
  2. Cloud edge enabled stacked ensemble learning framework with meta model for situation aware maritime traffic monitoring and control systems
    Zulfiqar Ahmad, Jung Taek Seo, Seungho Jeon
    Scientific Reports, vol. 15, iss. 41099, 2025, [doi]
  3. FP-ZOO: Fast Patch-Based Zeroth Order Optimization for Black-Box Adversarial Attacks on Vision Models
    Junho Seo, Seungho Jeon
    Sensors, vol. 25, iss. 22, 2025, [doi]
  4. Anomaly Detection Method Considering PLC Control Logic Structure for ICS Cyber Threat Detection
    Ju Hyeon Lee, Il Hwan Ji, Seungho Jeon, Jung Tae Seo
    Applied Sciences, vol. 15, iss. 7, 2025, [doi]
  5. A Threat Modeling Framework for IoT-Based Botnet Attacks
    Hojun Jin, GyuHyun Jeon, Hee Won Aneka Choi, Seungho Jeon, Jung Tae Seo
    Heliyon, vol. 10, iss. 7, 2024, [doi]
  6. Encrypted Cyberattack Detection System over Encrypted IoT Traffic Based on Statistical Intelligence
    Il Hwan Ji, Ju Hyeon Lee, Seungho Jeon, Jung Tae Seo
    Computer Modeling in Engineering & Sciences, vol. 141, iss. 2, 2024, [doi]
  7. IWTW: A Framework for IoWT Cyber Threat Analysis
    GyuHyun Jeon, Hojun Jin, Ju Hyeon Lee, Seungho Jeon, Jung Tae Seo
    Computer Modeling in Engineering & Sciences, vol. 141, iss. 2, 2024, [doi]
  8. Mutation-Based Multivariate Time-Series Anomaly Generation on Latent Space with an Attention-Based Variational Recurrent Neural Network for Robust Anomaly Detection in an Industrial Control System
    Seungho Jeon, Kijong Koo, Daesung Moon, Jung Tae Seo
    Applied Sciences, vol. 14, iss. 17, 2024, [doi]
  9. Guide to Developing Case-based Attack Scenarios and Establishing Defense Strategies for Cybersecurity Exercise in ICS Environment
    Donghyun Kim, Seungho Jeon, Kwangsoo Kim, JaesikKang, Seungwoon Lee, Jung Taek Seo
    Journal of Supercomputing, vol. 2024, [doi]
  10. Data-Driven ICS Network Simulation for Synthetic Data Generation
    Minseo Kim, Seungho Jeon, Jake Cho, Seonghyeon Gong
    Electronics, vol. 13, iss. 10, 2024, [doi]
  11. Artificial Intelligence-Based Anomaly Detection Technology over Encrypted Traffic: A Systematic Literature Review
    Il Hwan Ji, Ju Hyeon Lee, Min Ji Kang, Woo Jin Park, Seungho Jeon, Jung Taek Seo
    Sensors, vol. 24, iss. 3, 2024, [doi]
  12. GENICS: A Framework for Generating Attack Scenarios for Cybersecurity Exercises on Industrial Control Systems
    InSung Song, Seungho Jeon, Donghyun Kim, Min Gyu Lee, Jung Taek Seo
    Applied Sciences, vol. 14, iss. 2, 2024, [doi]
  13. A Synthetic Time-Series Generation using Variational Recurrent Autoencoder with Attention Mechanism in Industrial Control System
    Seungho Jeon, Jung Taek Seo
    Sensors, vol. 24, iss. 1, 2023, [doi]
  14. A Seed Scheduling Method With a Reinforcement Learning for a Coverage Guided Fuzzing
    Gyeongtaek Choi, Seungho Jeon, Jaeik Cho, Jongsub Moon
    IEEE Access, vol. 11, 2023, [doi]
  15. Generating ICS Anomaly Data Reflecting Cyber-Attack Based on Systematic Sampling and Linear Regression
    Ju Hyeon Lee, Il Hwan Ji, Seungho Jeon, Jung Taek Seo
    Sensors, vol. 23, iss. 24, 2023, [doi]
  16. Design the IoT Botnet Defense Process for Cybersecurity in Smart City
    Donghyun Kim, Seungho Jeon, Jiho Shin, Jung Taek Seo
    Intelligent Automation & Soft Computing, vol. 37, iss. 3, 2023, [doi]
  17. A security scheme for distributing analysis codes supporting CDM-based research in a multi-center environment
    Seungho Jeon, Chobyeol Shin, Eunnarae Ko, Jongsub Moon
    Computer Methods and Programs in Biomedicine, vol. 226, 2022, [doi]
  18. Dr. PathFinder: hybrid fuzzing with deep reinforcement concolic execution toward deeper path-first search
    Seungho Jeon, Jongsub Moon
    Neural Computing & Applications, vol. 34, iss. 13, 2022, [doi]
  19. A Secure CDM-Based Data Analysis Platform (SCAP) in Multi-Centered Distributed Setting
    Seungho Jeon, Chobyeol Shin, Eunnarae Ko, Jongsub Moon
    Applied Sciences, vol. 11, iss. 19, 2021, [doi]
  20. Malware-detection method with a convolutional recurrent neural network using opcode sequences
    Seungho Jeon, Jongsub Moon
    Information Sciences, vol. 535, 2020, [doi]
  21. Proposal and assessment of a de-identification strategy to enhance anonymity of the observational medical outcomes partnership common data model (OMOP-CDM) in a public cloud-computing environment: anonymization of medical data using privacy models
    Seungho Jeon, Jeongeun Seo, Sukyoung Kim, Jeongmoon Lee, Jong-Ho Kim, Jang WookSohn, Jongsub Moon, Hyung Joon Joo
    Journal of Medical Internet Research, vol. 22, iss. 11, 2020, [doi]
  22. Recurrent gans password cracker for iot password security enhancement
    Sungyup Nam, Seungho Jeon, Hongkyo Kim, Jongsub Moon
    Sensors, vol. 20, iss. 11, 2020, [doi]
  23. Generating optimized guessing candidates toward better password cracking from multi-dictionaries using relativistic GAN
    Sungyup Nam, Seungho Jeon, Jongsub Moon
    Applied Sciences, vol. 10, iss. 20, 2020, [doi]

Conference (International)

  1. SP-Fuzz: Fuzzing Soft PLC with Semi-automated Harness Synthesis
    Seungho Jeon, Jung Taek Seo
    WISA 2023 : Information Security Applications, 2023, [doi]
  2. AE-LSTM Based Anomaly Detection System for Communication Over DNP 3.0
    Ilhwan Ji, Seungho Jeon, Jung Tae Seo
    WISA 2023 : Information Security Applications, 2023, [doi]
  3. OCR Meets the Dark Web: Identifying the Content Type Regarding Illegal and Cybercrime
    Donghyun Kim, Seungho Jeon, Jiho Shin, Jung Tae Seo
    WISA 2023 : Information Security Applications, 2023, [doi]
  4. A new password cracking model with generative adversarial networks
    Sungyup Nam, Seungho Jeon, Jongsub Moon
    WISA 2019 : Information Security Applications, 2019, [doi]

Journal (Domestic)

  1. 5G 환경에서의 네트워크 슬라이싱 연구 비교 분석
    고아름, 지일환, 진호준, 전승호, 서정택
    Journal of Platform Technology, vol. 11, iss. 5, 2023, [doi]
  2. 돌연변이 연산 기반 효율적 심층 신경망 모델
    전승호, 문종섭
    KIPS Transactions on Software and Data Engineering, vol. 6, iss. 12, 2017, [doi]

Conference (Domestic)

  1. 정적 분석 및 동적 분석을 통한 안드로이드 퍼징 하네스 생성
    강민주, 이동하, 한규상, 박정우, 전승호
    한국정보보호학회 동계학술대회, 2025, [doi]
  2. LLM 기반 소프트웨어 취약점 분석 연구 동향 및 기술적 챌린지 분석
    박정우, 강민주, 이동하, 한규상, 전승호
    한국정보보호학회 동계학술대회, 2025, [doi]
  3. XPC 및 IOKit 기반 macOS 공격 표면 식별 자동화
    이동하, 강민주, 한규상, 박정우, 전승호
    한국정보보호학회 동계학술대회, 2025 ( KISA 원장상), [doi]
  4. 하이브리드 퍼징 연구 동향 및 기술적 챌린지 분석
    한규상, 박정우, 강민주, 이동하, 전승호
    한국정보보호학회 동계학술대회, 2025, [doi]
  5. 코퍼스 전이를 통한 상용 소프트웨어에 대한 바이너리 전용 퍼징 성능 향상
    이동하, 전승호
    한국정보보호학회 하계학술대회, 2025, [doi]
  6. LLM 기반 하네스 생성을 통한 퍼징 연구 동향 및 효과적 하네스 생성을 위한 요구사항
    원신영, 강민주, 전승호
    한국정보보호학회 하계학술대회, 2025, [doi]
  7. 안드로이드 사용자 앱 퍼징 연구 동향 및 기술적 챌린지 분석
    강민주, 원신영, 전승호
    한국정보보호학회 하계학술대회, 2025, [doi]
  8. 산업제어시스템 잠재적 사이버위협 탐지를 위한 하이브리드 모델 제안
    이주현, 전승호, 서정택
    한국정보보호학회 하계학술대회, 2025, [doi]
  9. DNP 3.0 전력계통 대상 AI 기반 이상탐지 시스템 제안
    지일환, 김동현, 전승호, 서정택
    ICT플랫폼학회 하계학술발표대회, 2023, [doi]
  10. ICS환경에서 기계학습 기반 공격 패킷 생성 방법론 연구
    이주현, 전승호, 송인성, 서정택
    ICT플랫폼학회 하계학술발표대회, 2023, [doi]
  11. 데이터 스트림 분석을 이용한 PLC 원격 제어로직 삽입 공격 탐지 기법
    이민규, 전승호, 서정택
    ICT플랫폼학회 하계학술발표대회, 2023, [doi]
  12. IoT 대상 봇넷 공격 탐지 프로세스 설계
    진호준, 전규현, 전승호, 서정택
    ICT플랫폼학회 하계학술발표대회, 2023, [doi]
Seungho Jeon @ Gachon University