E-mail Google Scholar Curriculum Vitae GitHub from HCR Lab. Yongsan-gu, Seoul
From September 2024, I work at Division of Artificial Intelligence Engineering, Sookmyung Women’s University (SMWU), Seoul, Republic of Korea, as an assistant professor.
I investigate and address cybersecurity challenges in Internet service applications through a data-driven approach that utilizes machine learning and deep learning methodologies. I have experience in analyzing a wide range of valuable datasets obtained from real-world services, including massive online game, root DNS servers, mobile payment transaction data, and car hacking activities.
Recently, my focus has been on in-vehicle anomaly and intrusion detection—a research area that demands urgent attention, given the severe consequences of compromised vehicle systems. Specifically, I have developed a standardized intrusion prevention system for connected vehicles that offers practical solutions to both industry professionals and academic researchers.
Now I’m dealing with an intrusion detection system that automatically interprets conducted attacks on automotive Ethernet.
See more on my publications page and Google Scholar profile.
I have academic experience in teaching practical hacking and defense techniques, such as reverse engineering, system/network hacking, smart car hacking, and attack defense strategies (e.g., machine learning-based intrusion detection systems). I believe that it is essential to have an in-depth understanding of traditional computer science and engineering topics—including data structures, operating system concepts, system programming, data communications, and networking—so as to really understand security risks, threats, vulnerabilities, and proper countermeasures.
At SMWU, I previously taught Linux Administration and Security and Algorithms, and I am currently teaching Introduction to Computer Programming and Data-Driven Security.
See more on my teaching page.
Two undergraduate students, Chaeri Jung and Chaeyoung Lee, have started their internships at the System and Network Security Laboratory (SNSec Lab.). They are planning to spend a year reproducing our lab’s recent research on AI-driven automotive security framework—X-CANIDS and AERO—and then proposing their own unique methods to achieve improved intrusion detection performance.
One of my papers—Infotainment System Matters—has just reached 10 citations. The paper analyzes security vulnerabilities in Automotive Grade Linux-based in-vehicle infotainment systems by hosting a hacking competition that revealed exploits affecting data privacy and system functionality. It conclude with three mitigation strategies to enhance IVI system security.
I am proud to announce that my previous lecture—CYDF311: Attack & Defense: Theory and Practice—has once again been selected as one of the best lectures of Spring 2024 at Korea University.