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Portfolio
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I run an educational YouTube channel focused on cybersecurity, where I solve hands-on labs and walk through the process step by step. I enjoy breaking down each stage of the problem, explaining not just what to do but why it works, so it’s easier for others to follow and learn.
Through creating these videos, I’ve been improving my ability to communicate technical concepts clearly, structure my thinking, and present solutions in a practical way. The channel also helps me document my learning journey while connecting with others who are interested in cybersecurity and hands-on problem solving.
Alongside this, I write on Substack, where I document each lab by summarizing the process, reflecting on what I learned, and breaking down how I approached the problem. I also share interesting cybersecurity concepts and insights I come across along the way.
Impact
Impact
The channel serves as a platform where I can share knowledge and interact with a wider audience interested in learning. It also reflects my interest in education, communication, and making information more accessible.
🎤 Conference Presentation
I presented a paper titled:
This research surveyed AI-driven methods for IoT device authentication, a critical challenge as connected devices become more central in fields like healthcare. The paper compared existing approaches, highlighted their strengths and weaknesses, and outlined future opportunities for improving IoT security through machine learning.
Internship Research & Poster Session
Internship Research & Poster Session
During my internship at the Infonet Lab, Gwangju Institute of Science and Technology (GIST), I worked on a project called:
The project aimed to design a secure and efficient way to manage sensitive heart disease data by integrating blockchain, encryption, and decentralized storage. My role included developing smart contracts, testing system performance, and exploring privacy-preserving techniques for medical datasets.
This work culminated in a poster session, where I presented findings on combining blockchain, homomorphic encryption, and AI for secure healthcare applications. The experience allowed me to share insights, gather feedback, and refine the project further.
📃 Thesis
📃 Thesis
This study presents the design and implementation of a patient-centric, privacy-preserving Electronic Health Record (EHR) system using blockchain, smart contracts and cryptographic techniques. The system ensures secure medical data storage, controlled access, and consent-based data sharing between healthcare stakeholders.
Korean Abstract: 본 논문은 전자의무기록(EHRs)을 보호하기 위해 Hyperledger Fabric, IPFS, 그리고 AES-CKKS 하이브리드 암호화를 통합한 보안 기반의 환자 중심 헬스케어 데이터 관리 프레임워크(PCHDM)를 제안한다. 본 시스템은 스마트 계약 기반의 동의 관리 기능을 지원하며, 상호운용성을 위해 FHIR 표준 형식을 사용한다. 시뮬레이션된 다중 피어 환경에서 EHR 생성, 동의 관리, 암호화된 데이터 조회와 같은 핵심 기능들이 낮은 지연 시간으로 수행되었다. CKKS는 보안 연산을 가능하게 했지만, 높은 저장 공간 오버헤드를 초래하였다. 그럼에도 불구하고 AES 및 CKKS로 암호화된 파일은 각각 0.15초 및 1.3초 이내에 IPFS에서 업로드 및 다운로드되었으며, 이는 IPFS의 낮은 지연 시간을 확인시켜준다. 테스트는 소규모 데이터셋을 이용한 로컬 환경에서 제한적으로 수행되었지만, 본 프레임워크는 보안, 프라이버시, 사용성 간의 균형을 효과적으로 달성하였으며, 향후 분산형 EHR 시스템 개발을 위한 견고한 기반을 제공한다.
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