Wearable Action Camera Forensics: GoPro HERO13 on Android [LINK]
YuJin Lee, Umit Karabiyik
Jan. 2025 – Mar. 2025
Conducted a forensic analysis of the GoPro HERO13 and its accompanying Android mobile application, identifying the types and locations of forensic evidence generated by the camera
ML Enabled Intrusion Detection: DistilBERT & Tree Ensemble in Elastic Cloud [LINK]
YuJin Lee, Eason Yi Zheng
Aug. 2024 – Dec. 2024
Developed network intrusion detection models using machine learning with DistilBERT and Tree Ensemble
Trained and evaluated ML models on AWS and GCP clusters via Elastic Cloud, visualized results using Elastic Search, and achieved high precision in detecting network attacks
Mobile Forensics Project - Orange Safe [LINK]
YuJin Lee
Jul. 2024 – Aug. 2024
Conducted a forensic analysis by decompiling the ``Orange Safe'' Android app to evaluate its permissions, data usage, and privacy practices, and concluded that it ensures privacy by collecting minimal personal data with user consent
Cybersecurity and AI Project - Malicious File Detection using ML [LINK]
Yu-Jin Lee, Jeong-Su Lim
Sep. 2022 – Dec. 2022
Analyzed Opcode sequences extracted from malicious code execution files through N-gram-based preprocessing techniques, including Opcode Count, Opcode Frequency, and TF-IDF
Trained ML models, including Gaussian Naive Bayes, Support Vector Machine, Random Forest, Decision Tree, and K-Nearest Neighbor with thee processed Opcode data, comparing their performance and accuracy
Mobile Application Development - Studying Korean with Som [Google Play Store]
Yu-Jin Lee
Jan. 2020 – Apr. 2020
Developed a Korean language learning application specifically customized for individuals with cerebral palsy, using C#, Unity, and Google Cloud API (Text-to-Speech)
Awarded second prize at the 2020 AAC Best Practice Competition organized by the Korean Society of Augmentative and Alternative Communication (KSAAC)
Presentation at the 2020 Fall Academic Conference on the Korean Society of Augmentative and Alternative Communication (KSAAC)
Released the app on the Google Play Store. Currently holds a 4.7 rating with over 1,000 downloads
The EASY
Yu-Jin Lee, Yubin Jeong
Jun. 2016 – Oct. 2016
Developed a customized Korean keyboard application to imporve inefficiencies in Korean text input for individuals with cerebral palsy
Analyzed approximately a hundred elementary school dictation sentences, categorized frequently used consonants and vowels, and arranged them based on frequency
Tales Savior VR for Google Card Board [Google Play Store]
Yu-Jin Lee, Yubeen Jeong, Hanna Kim, Seungyeon Maeng, Yeji Eom
Oct. 2016
This game was exhibited at the Maker Faire Seoul / Google HackFair 2016
Developed a VR shooting game played on Google Cardboard
Problem Solving and Algorithms Project
Jan. 2016 ~
Since 2016, I have been solving algorithm problems and uploading posts on Baekjoon Online Judge. You can check out the code on GitHub, and an explanation of the problem can be found on the blog (Korean)