Projects
AI-driven Security Vulnerability Detection
Developed and patented an AI-based method, apparatus, and program for detecting security vulnerabilities in source code. This project significantly reduces manual patching time, improving both response speed and system reliability.
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AI-based SOC System for Post-COVID Era
Contributed to a research project focused on developing an AI-based Security Operations Center (SOC) system to enhance cybersecurity in the post-COVID era. The system integrates AI-driven methods for efficient security incident response.
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CodeOne Real-Time Situational Awareness System
Developed a real-time situational awareness system integrated with SIEM during my military service in the Republic of Korea Army. The system significantly reduced incident response time and achieved 95% accuracy in detecting threats in over 1 million daily SIEM rule violations.
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WION - Social Network for Religious Discussions
Designed and launched WION, a social network enabling users to engage in religious discussions, built with Next.js, MongoDB, and Tailwind CSS. Attracted over 250 active users within the first six months.
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Deep Learning-based Automatic Patching System
Developed a deep learning model and user-AI hybrid process for automated vulnerability detection and patch suggestion in source code, cutting manual patching time by 70%.
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Function and Parameter Renaming Automation
Secured a patent for automating the renaming of functions and parameters in source code. This method provides an efficient tool for maintaining large-scale codebases and improving code clarity and maintainability.
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