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Taejoong Chung is an Associate Professor in the Computer Science department at Virginia Tech. He received his PhD in Computer Science and Engineering from Seoul National University in 2015. His research focuses on Internet security protocols including DNS, TLS/HTTPS, routing (BGP/RPKI), and email security, with an emphasis on protocol deployment challenges and internet measurements. His work has earned recognition including an NSF CAREER Award (2024), Outstanding New Assistant Professor award from Virginia Tech's College of Engineering (2024), ACM CCS Best Paper Honorable Mention (2022), IRTF Applied Networking Research Prize (2019), ACM IMC Distinguished Paper Award (2019), and USENIX Security Distinguished Paper Award (2017). Dr. Chung leads research on practical security improvements, developing systems like RoVista for measuring route origin validation and mmTLS for optimizing encrypted traffic inspection. His group actively contributes to internet standards through IETF involvement. He mentors PhD students working on security protocols and maintains collaborations with industry partners including Meta, Verisign, and Cloudflare. Research Areas: Internet routing security (RPKI, BGP) DNS ecosystem (DNSSEC, TTL violations) TLS certificate ecosystem evolution Email security protocols (DMARC, DANE, MTA-STS) Certificate revocation mechanisms Recent Grants: NSF CAREER Award (2024), NSF CRII Award (2019)

• Internet Security
• DNS Security
• TLS/HTTPS Protocols
• +3 more

Professor Shin Dong-gyu is a faculty member in the Department of Computer Engineering at Sejong University, where he leads research in cybersecurity, cyber warfare, and machine learning applications. He is affiliated with both the Cyber Warfare Research Institute and the Smart Convergence Technology Research Institute, directing the Multimedia & Internet Lab which has produced over 100 graduates since its founding in 1998. His students have gone on to work at government research institutes, corporate research centers, and mid-sized technology companies. Professor Shin's research focuses on cybersecurity with particular emphasis on cyber resilience, intrusion detection systems, malware analysis, cyber range development, and the application of machine learning to security challenges. His work bridges theoretical security frameworks with practical defense mechanisms, often incorporating military and national security applications. The research spans both defensive cybersecurity measures and offensive cyber operations analysis. His recent publications (2023-2025) demonstrate a consistent research trajectory in cyber resilience metrics, data sanitization against poisoning attacks, DNS security, layered defense approaches for critical infrastructure, and the integration of Zero Trust architecture with threat modeling frameworks like MITRE ATT&CK. His work shows increasing sophistication in applying deep learning techniques to security problems while maintaining focus on practical, implementable security solutions. Professor Shin actively mentors graduate students through doctoral dissertation research, master's thesis research, and specialized courses including Algorithms and Practice, Computer Vision and Deep Learning for Drones, and Special Topics in Smart Computing Technology. His teaching schedule indicates regular engagement with both master's and doctoral students.

• Cybersecurity
• Cyber Warfare
• Machine Learning
• +7 more