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Assistant Professor
Seoul Women's University
Department of Information Security
R105, The 2nd Science Hall, 621, Hwarang-ro, Nowon-gu, Seoul, Republic of Korea (01797)
Email: sun.lee@swu.ac.kr
My research focuses on analyzing and processing physical-layer data to (1) strengthen security mechanisms and (2) identify potential vulnerabilities in systems. Physical-layer data, such as vibrations, acoustic signals, sensor readings, and electromagnetic signals, is naturally generated during device operation. For example, electromagnetic emissions from a device may inadvertently reveal patterns that adversaries could exploit, while sensor data can feature unique device-specific characteristics that support robust authentication methods. By examining these signals, I aim to develop innovative techniques that not only enhance security from a defensive perspective but also uncover potential attack vectors, enabling a comprehensive approach to addressing the evolving challenges in cybersecurity.
I am always open to sharing and discussing innovative ideas!
A brief biography about me is as follows:
Academic Backgrounds
Ph.D. in Information Security, School of Cybersecurity, Korea University, Seoul, Republic of Korea (Sep. 2015 ~ Feb. 2022)
- Dissertation Title: Secure IoT System Design based on Challenge-response Structure at PHY-level
- Academic Advisor: Professor Dong Hoon LeeB.S. in Mathematics, College of Natural Science, Sogang University, Seoul, Republic of Korea (Mar. 2011 ~ Feb. 2015)
Position Held
Assistant Professor, Department of Information Security, Seoul Women's University, Seoul, Republic of Korea (Mar. 2024 ~)
Staff Engineer, Security & Privacy Lab, Samsung Research in Seoul, Republic of Korea (Oct. 2022 ~ Feb. 2024)
Research Professor, School of Cybersecurity, Korea University, Seoul, Republic of Korea (Mar. 2022 ~ Sep. 2022)
Research Interests
Data-driven Security
IoT Security
Sensor Security
Device/User Authentication
Usable Security
Side-channel Attack
Representative Publications ([J] Journal, [C] Conference)
[J] Minyoung Choi, Ahyoung Cho, and Sunwoo Lee (2025). Real-Time Network Attack Detection and APP Implementation for Wi-Fi Based IP Cameras Using Machine Learning. The Journal of Korean Institute of Communications and Information Sciences, 50(8), 1279-1289. [Scopus, KCI]
[C] Sunwoo Lee, and Wonsuk Choi. "Eyes on Your Typing: Snooping Finger Motions on Virtual Keyboards". Proceedings of the 46th IEEE Symposium on Security and Privacy (IEEE S&P (Oakland) 2025) (acceptance rate: 14.8% = 257/1740)
[J] Sunwoo Lee. "Gyro-Mag: Attack-Resilient System Based on Sensor Estimation." Sensors 25.7 (2025): 2208. [SCIE (Q2), IF 3.4]
[J] Sunwoo Lee. "Real Steps or Not: Auto-Walker Detection in Move-to-Earn Applications." Sensors 25.4 (2025): 1002. [SCIE (Q2), IF 3.4]
[J] Sunwoo Lee, Wonsuk Choi, and Dong Hoon Lee. "The vibration knows who you are! A further analysis on usable authentication for smartwatch users." Computers & Security 125 (2023): 103040. [SCIE (Q1), IF 4.8, JCR Top 17.7% in Computer Science, Information Systems]
[J] Sunwoo Lee, and Dong Hoon Lee. "From Attack to Identification: MEMS Sensor Fingerprinting Using Acoustic Signals." IEEE Internet of Things Journal (2022): 5447-5460. [SCIE (Q1), IF 10.6, JCR Top 1.79% in Computer Science, Information Systems]
[C] Sunwoo Lee, Wonsuk Choi, and Dong Hoon Lee. "Usable user authentication on a smartwatch using vibration." Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security (ACM CCS 2021)
[J] Sunwoo Lee, Wonsuk Choi, and Dong Hoon Lee. "Securing ultrasonic sensors against signal injection attacks based on a mathematical model." IEEE Access 7 (2019): 107716-107729. [SCIE (Q1), IF 3.745]
[C] Sunwoo Lee, Wonsuk Choi, and Dong Hoon Lee. "Ulrera!: Securing ultrasonic sensor based on Signal Relation and Randomness." {Poster Session} 26th USENIX Security Symposium (USENIX Security 2017)
Patents
DEVICE AND METHOD FOR DETECTING SIGNAL INJECTION ATTACK USING RELATION BETWEEN GYROSCOPE AND MAGNETOMETER (Granted Patent Number(KR): 10-2790021, 2025)
METHOD FOR DETECTING ATTACK USING ROAD TRAFFIC INFRASTRUCTURE IN V2X ENVIRONMENT (Granted Patent Number(KR): 10-2602602, 2023)
CONGESTION ATTACK DETECTION SYSTEM IN AUTONOMOUS COOPERATIVE DRIVING ENVIRONMENT USING RECEIVED SIGNAL STRENGTH MEASUREMENT (Granted Patent Number(KR): 10-2510380, 2023)
METHOD OF DETECTING ATTACK ON SENSOR (Granted Patent Number(KR): 10-2491867, 2023)
TECHNIQUE FOR AUTOMOTIVE SOFTWARE UPDATE BY USING WHITE-BOX CRYPTOGRAPHY (Granted Patent Number(KR): 10-2491866, 2023)
CONGESTION ATTACK DETECTION SYSTEM IN AUTONOMOUS COOPERATIVE DRIVING ENVIRONMENT USING RECEIVED SIGNAL STRENGTH MEASUREMENT (Granted Patent Number(KR): 10-2404211, 2022)
User Authentication using Vibration Signals on Wearable Devices (Granted Patent Number(KR): 10-2393483, 2022)
User Authentication using Vibration Signals on Wearable Devices (PCT Application Number: PCT/KR2021/004911, 2021)
DEVICE AND METHOD FOR DETECTING A SIGNAL INJECTION ATTACK ON AN ULTRASONIC SENSOR (Granted Patent Number(KR): 10-1992832, 2019)
METHOD FOR TRANSMITTING AND RECEIVING A MESSAGE IN A VEHICLE NETWORK SYSTEM, (Granted Patent Number(KR): 10-1705639, 2017)
Courses
Introduction to Computer and Information Security
Data Structure
Computer Algorithm
Privacy Protection Technologies
Last Update: September 01, 2025
I am collaborating with EMSEC Lab at Korea University.
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