Suhyung Kim, Hoseo University, South Korea
Suhyung Kim 🎓 is an emerging researcher in the field of cybersecurity and artificial intelligence. He received his Bachelor’s degree in Computer Engineering from Hoseo University, South Korea 🇰🇷 in 2025, and is currently pursuing a Master’s degree in Information Security at the same institution. His academic interests span across deep learning 🤖, mobile network security 📶, and cryptography 🔐. Passionate about technological innovation and system protection, Suhyung is committed to addressing vulnerabilities in modern AI systems. He is an active contributor to research exploring clock glitch fault attacks on neural networks and developing effective countermeasures.
Professional profile :
Orcid
Suitability for Best Researcher Award :
Name: Suhyung Kim
Current Position: Master’s Student in Information Security
Affiliation: Hoseo University, Republic of Korea
E-mail: aa5551107@naver.com
Article Title: Clock Glitch Fault Attacks on Deep Neural Networks and Their Countermeasures
Education & Experience :
🎓 Bachelor’s Degree in Computer Engineering, Hoseo University (2025)
🎓 Master’s Program in Information Security, Hoseo University (Currently Enrolled)
🔬 Engaged in academic research on neural networks and cybersecurity
🧪 Published research on fault attacks in AI systems
Professional Development :
Suhyung Kim is actively building his expertise through both academic study and applied research in information security 🛡️. He participates in advanced projects that explore the intersection of AI and cyber threats, particularly targeting vulnerabilities in neural networks 🤖. With a growing foundation in cryptography 🔐 and mobile network security 📱, Suhyung continuously refines his skills through technical workshops, academic seminars 🎓, and peer-reviewed research contributions. His commitment to professional growth is reflected in his collaboration with academic mentors and participation in cybersecurity challenges, all aimed at making emerging AI systems more secure and trustworthy. 🌐📚
Research Focus :
Suhyung Kim’s research primarily focuses on the security of deep learning systems, especially under fault-based attacks such as clock glitching ⏱️⚠️. He investigates how these physical-level attacks can disrupt neural network behavior and compromise system integrity 🤯. His work extends to designing countermeasures that strengthen AI models against such threats, ensuring robustness in real-world applications 🔐. Additionally, he explores mobile network vulnerabilities 📡 and data encryption strategies for secure communication. With a keen interest in the convergence of cryptography and artificial intelligence 🤖🔐, his research contributes to building more resilient and secure intelligent systems.
Awards and Honors :
🏆 Academic Excellence Scholarship Recipient, Hoseo University
🥇 First Place – Internal Cybersecurity Hackathon (Hoseo Univ.)
🎖️ Best Poster Award – Graduate Research Forum, 2024
🧠 Recognized for Innovation in Fault Attack Mitigation (Research Lab Recognition)
Publication Top Notes :
Clock Glitch Fault Attacks on Deep Neural Networks and Their Countermeasures
Citation (APA style):
Lee, S., Kim, S., Hong, S., & Ha, J. (2025). Clock glitch fault attacks on deep neural networks and their countermeasures. Sensors, 25(9), 2793. https://doi.org/10.3390/s25092793
Conclusion :
Suhyung Kim is a highly promising emerging researcher whose contributions to fault attack detection and prevention in deep learning models offer both academic value and real-world impact. His article presents a novel intersection of AI and security, reflecting a deep understanding of system vulnerabilities and mitigation strategies. Based on his scholarly contributions, clarity of focus, and relevance to critical technological issues, he is a strong and deserving candidate for the Best Researcher Award in the fields of AI Security or Emerging Research Talent.