Professor | Korea University | South Korea
Prof. Junbeom Hur’s research career is defined by impactful contributions to the fields of computer and cyber security, applied cryptography, and network defense systems. His extensive experience as a project leader and researcher encompasses advanced investigations into identity and attribute-based encryption, secure multi-party computation, and privacy-enhancing technologies such as differential privacy and anonymity protocols. He has directed several major research initiatives, including the Brain Korea 21 (BK21) FOUR project in computer science and engineering, which focuses on developing next-generation security frameworks for cloud computing, AI-driven systems, and data protection infrastructures. His work on virtualization security and side-channel attack defenses has strengthened cloud computing environments against sophisticated vulnerabilities, while his exploration of cloud data access control has contributed to secure, scalable information management solutions. In network security, Dr. Hur’s projects have tackled challenges in group key management, secure multicast, RDMA-based attack mitigation, and TLS vulnerability detection, ensuring resilient and trustworthy network communication. His more recent research ventures expand into AI and blockchain security, particularly focusing on protecting machine-learning-as-a-service platforms, enhancing neural network resilience against adversarial threats, and improving anonymity and deanonymization mechanisms in blockchain ecosystems and dark web analysis. Through collaborative and interdisciplinary projects, Dr. Hur continues to advance the understanding of how cryptographic and computational techniques can safeguard emerging technologies. His sustained leadership roles, including as Head of the Center for Information System Security and Vice Dean at Korea University’s College of Informatics, underscore his ability to integrate academic insight with practical innovation, fostering secure digital transformation in academia and industry alike. His future research trajectory is poised to further strengthen global cybersecurity frame
Publications:
Yoon, H., Yu, M., Hahn, C., Koo, D., & Hur, J. (2024). Exploiting hidden information leakages in backward privacy for dynamic searchable symmetric encryption. Applied Sciences, 14(6), 2287.
Yoon, H., Moon, S., Kim, Y., Hahn, C., Lee, W., & Hur, J. (2020). SPEKS: Forward private SGX-based public key encryption with keyword search. Applied Sciences, 10(21), 7842.
Koo, D., Shin, Y., Yun, J., & Hur, J. (2018). Improving security and reliability in Merkle tree-based online data authentication with leakage resilience. Applied Sciences, 8(12), 2532.
Hur, J. (2017). Privacy-preserving aggregation and authentication of multi-source smart meters in a smart grid system. Applied Sciences, 7(10), 1007.