SEO-YI KIM
SEO-YI KIM
Convergence Security Engineering, Sungshin University
2, Bomun-ro 34da-gil, Seongbuk-gu, Seoul, Republic of Korea
📲 Contact Information
[E-mail] sykim.cse@gmail.com
[LinkedIn] www.linkedin.com/in/seoyi-kim-a03690313
[Google Scholar] Profile Link
[CSE Lab] https://sites.google.com/view/iglee/cse-lab?authuser=0
○ Education
2025.09 ~
Ph.d in Convergence Security Engineering, Sungshin University, Seoul, Korea
2023.09 ~ 2025.02
M.S. in Future Convergence Technology Engineering, Sungshin University, Seoul, Korea
2020.03 ~ 2023.08
B.S. in Convergence Security Engineering, Sungshin University, Seoul, Korea
○ Research Area
Anomaly Detection & Response
Endpoint Detection & Response (EDR)
Anomaly/Intrusion Detection (based-on Machine learning)
Tiny Machine Learning / Green AI
IoT Security (considering energy efficiency)
etc.
Cloud Security (Multi-cloud), FPGA, Fuzzing
○ Professional Activity
2024.03 - 2024.08 Teaching Assistant in Dept. of Convergence Security Engineering
2020.09 ~ 2023.08 Undergraduate Internship in CSE LAB (Sungshin University, Seoul, Korea)
2022.5 ~ 2022.10 Undergraduate Research Opportunity Program, Sungshin University, Seoul, Korea
2021.03 - 2021.12 I.Sly() Hacking Club member, Sungshin Women's University
2020.03 - 2021.12 CSE(融保工) Security Club member, Sungshin Women's University
○ R & D Project
2022.07 - 2027.12 Information Protection Specialized University Support Project (MSIT)
2022.07 - 2026.12 ICT Innovative Talent 4.0: Next Generation Communication Network and Security (MSIT)
2021.03 - 2024.02 Training R&D professionals to protect industrial technology based on the 4th industrial revolution (MOTIE)
2023.04 - 2023. 10 A Study on the Accident Investigation Procedure in the Cloud Environment (NSR)
2022.04 - 2022.10 A Study on Host Monitoring and Isolation Methods Using Open Source EDR (NSR)
2021.04 - 2021.10 Analysis of Open Source EDR and Internetworking Sensors for Next Generation Threat Detection System (NSR)
○ Publication
Journals
Na-Eun Park, Seo-Yi Kim, Il-Gu Lee, "Selfish Attack Detection and Response Using Cooperative Backoff Adjustment in Wireless Sensor Networks," ICT Express (SCIE, IF 5.4, Q2, JCR Top 27.8%)
Yu-Rim Lee, Na-Eun Park, Seo-Yi Kim, Il-Gu Lee, "Malicious Traffic Compression and Classification Technique for Secure Internet of Things," CMC-Computers, Materials & Continua, Vol.76, No. 3, pp.3465-3482, Oct. 2023 (SCI, IF 3.1, JCR Q3)
Na-Eun Park, Yu-Rim Lee, Soyoung Joo, So-Yeon Kim, So-Hui Kim, Ju-Young Park, Seo-Yi Kim, Il-Gu Lee, "Performance Evaluation of Fast and Efficient Intrusion Detection Framework for Advanced Persistent Threat-based Cyber attacks," Elsevier Computers & Electrical Engineering, Vol. 105, No. 108548, 2023, (SCI, IF 4.15, JCR Q2)
Conference
Seo-Yi Kim, Il-Gu Lee. "LSTM Autoencoder-Based Insider Abnormal Behavior Detection Using De-Identified Data." 10th International Conference on Information Systems Security and Privacy (ICISSP. 2024), Feb. 2024
Seo-Yi Kim, Hye-Jeong Hwang, Il-Gu Lee, "Parallel Structure of RNN and LSTM Autoencoder for Financial Transaction Detection", The 7th International Conference on Mobile Internet Security (MobiSec 2023), Dec. 2023
Seo-Yi Kim, Na-Eun Park, Il-Gu Lee, "Reliable and Low-Latency Intrusion Detection System for Lightweight Internet of Things Environment", The 2023 IEEE 98th Vehicular Technology Conference(VTC2023-Fall), Oct.2023
Na-Eun Park, So-Yeon Kim, Yuran Jeon, Seo-Yi Kim and Il-Gu Lee, "Data Calibration to Enhance Security and Accuracy of Federated Learning", The 24th World Conference on Information Security Applications (WISA 2023), Aug. 2023
Yu-Rim Lee, Na-Eun Park, Seo-Yi Kim and Il-Gu Lee, "Malicious traffic classification techniques utilizing compressed sensing and learning for secure Internet of Things", The 6th International Symposium on Mobile Internet Security (MobiSec 2022), Dec. 2022
Seo-Yi Kim, Na-Eun Park, Il-Gu Lee, "Brute Force Attack Detection Technique Using Open Source EDR in Remote Work Environments," Korea Institute of Information Security & Cryptology (KIISC) CISC-W'22 , Nov. 2022
○ Work in Progress
.