Haedam Kim

• B.S in Converged Security Engineering, Sungshin Women's University, Seoul, Korea (2019.03 ~ 2024.08)

• Undergraduate Internship in Sungshin Women's University, Seoul, Korea 

(2022.02~2024.02 )   - NSSEC Lab

WINS, Women In Security (2022.04~2023.02)

• Forensic Windows Artifact Viewer Team

• Other Activities

SK Telecom, Completion of the  AI Curriculum (2020.12)

Naver Boostcourse, Completion of the Ai Basic track - Booster (2022.01~2022.03)

Naver Boostcourse, Completion of the HTML/CSS track - Booster (2022.05~2022.06)

Naver Boostcourse, Completion of the Python track(PY4E) - Lead Booster (2022.07~2022.08)

OpenUp 2022 Open Source Contribution Academy, Euphony (2022.07~2022.10.14)

• WiFi password sharing application through sound wave - waple, Team Leader

• Master mentee completion

Nexon, MSW X Super Hackathon (2022.09.07~2022.12.16)

KISEC, K-Shield Jr. 10th (2023.03 ~ 2023.06)

• 장려상, 2021 SSWU CSE Convergence Security Paper Contest

• 은상, 2021 DKU Security Convergence Idea Hackathon

• 장려상, 2022 Convergence Security Association Summer Conference, by Korea Convergence Security Association

• 대상, 2022 Convergence Security Creative Software Contest - Malicious Traffic Detection for IoT Federated Learning

• 우수상, 2022 DKU Smart City · Car Security Idea Hackathon - Smart Car Intrusion Detection System with LiDAR and CAN Data 

• 정보통신산업진흥원장상, 2022 Open Source Contribution Academy - Euphony

• 장려상, 2022 SSWU CSE Hackathon

• 학생우수논문상, 2023 Korea Information and Communication Society Spring Conference - Artificial intelligence-based IoT anomaly detection performance improvement method for dataset similarity evaluation

• Proposal of transfer learning-based IoT intrusion detection framework (2022)

Hyemin Hong, Haedam Kim, Jieun Park, Suhyun Park, Seongmin Kim

Korea Information Security Society Summer Conference (CISC-W'22)

• A Proposal of Dataset Preprocessing Method for Intrusion Detection in Federated Learning-based IoT Environment (2022)

Suhyun Park, Hyemin Hong, Haedam Kim, Jieun Park, Seongmin Kim

2022 Convergence Security Association Summer Conference, by Korea Convergence Security Association

• Analysis of Malicious Traffic Detection Performance Based on Machine Learning for Heterogeneous IoT Datasets (2022)

Jieun Park, Suhyun Park, Hyemin Hong, Haedam Kim, Seongmin Kim

Korea Information Security Society Summer Conference (CISC-S'22)

• Artificial intelligence-based IoT anomaly detection performance improvement method for dataset similarity evaluation (2023)

Suhyun Park, Jieun Park, Haedam Kim, Hyemin Hong, Seongmin Kim

2023 Korea Information and Communication Society Spring Conference

• A Transferable Deep Learning Framework for Improving the Accuracy of Internet of Things Intrusion Detection (2024)

Haedam Kim, Suhyun Park, Hyemin Hong, Jieun Park, Seongmin Kim

Future Internet 

• TBU

• TBU