Seonghoon Jeong, Ph.D.

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Affiliation

As of March 2023, I hold two positions at Korea University in Seoul, Republic of Korea:

Research goal

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 online gaming data, root DNS servers, mobile payment transaction data, and car hacking information.

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.

Education

  • Ph.D., Information Security, Korea University, 2023 (Advisor: Prof. Huy Kang Kim)
  • M.S., Information Security, Korea University, 2017 (Advisor: Prof. Huy Kang Kim)
  • B.S., Information and Communication Engineering, Chungbuk National University, 2015 (Advisor: Prof. Min Choi)

Publications

See more on my publications page and Google Scholar.

Teaching

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.

See more on my teaching page.

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