Sensor Security
Sensors measure physical quantities from the surrounding environment and convert them into digital signals. These sensors are exposed to various security threats, especially attacks at the physical layer, which are difficult to detect and can cause serious errors in the system. Therefore, ensuring the security of physical layer signals is crucial for maintaining the stability of all systems utilizing sensors. Our primary goal is to develop detection and response systems to protect these signals, enabling sensor-based applications to operate more securely.
Research Topics
Signal Injection
Attackers inject physical layer signals into sensors, causing them to produce incorrect readings. Such attacks can lead to system malfunctions.
Signal Processing
Signals injected by attackers from external sources cause errors in sensor measurements. Our research focuses on utilizing signal processing techniques to eliminate these errors and restore accurate measurement values.
AI Perception
AI perception, dependent on sensor data integrity for environment interpretation, faces vulnerabilities from attacks like signal injection. Ensuring its security involves robust data validation and securing communication channels to protect against data manipulation.
Leading Researcher
Hyunsu Cho
EMSEC, PhD Student
IoT Security
Vehicular-IT Security
OUr Latest Publications
[2023]
Poster: Unveiling the Impact of Patch Placement: Adversarial Patch Attacks on Monocular Depth Estimation
Gyungeun Yun, Kyungho Joo, Wonsuk Choi, and Dong Hoon Lee
ACM CCS 2023 (Poster)
[2022]
Recovering Yaw Rate from Signal Injection Attack to Protect RV’s Direction
Hyunsu Cho, Sunwoo Lee, Wonsuk Choi, and Dong Hoon Lee
WISA 2022
From Attack to Identification: MEMS Sensor Fingerprinting using Acoustic Signals
Sunwoo Lee, and Dong Hoon Lee
IEEE Internet of Things Journal, 2022 (IF 10.6, 상위 3%이내)
[2019]
Securing Ultrasonic Sensors against Signal Injection Attacks based on a Mathematical Model
Sunwoo Lee, Wonsuk Choi, and Dong Hoon Lee
IEEE Access, 2019 (IF 3.745)