Network Security Lab.
Research Field
NARN-YIH LEE (Member, IEEE) received the Ph.D. degree in information engineering from National Cheng Kung University, Taiwan, in 1996. He is currently a Professor with the Computer and Network Center, National Cheng Kung University. His research interests include cryptography, blockchain, network security, post-quantum cryptography, and chip security.
The following are some topics of our research:
- Research and Design of Post-Quantum Cryptographic Technologies:
In recent years, quantum computing has advanced rapidly, and algorithms capable of performing integer factorization and solving discrete logarithm problems using quantum computers have already been proposed. To mitigate the threats posed by quantum computers, post-quantum cryptography has emerged accordingly. Our team, in collaboration with Professor Pei-Yin Chen, has formed a post-quantum cryptographic hardware security research group focusing on international standards published by NIST and their corresponding hardware circuit designs. We have successfully developed hardware implementations of CRYSTALS-Kyber and are currently developing circuits for CRYSTALS-Dilithium and SPHINCS+. Future work will emphasize optimization and acceleration of these designs. - Research on Industrial Control System (ICS) Security:
Industrial control environments were not originally network-connected, resulting in relatively low cybersecurity threats. However, with the rapid development of the Internet of Things and big data technologies, industrial control devices have become interconnected with the Internet and consequently prime targets for cyberattacks. In collaboration with a team from National Cheng Kung University, we have undertaken a Ministry of Education project to establish a talent cultivation and technology development base for critical infrastructure cybersecurity. Focusing on industrial facilities such as oil, water, and power systems, we conduct simulated attack-and-defense exercises and design instructional control boxes, forming one of the most important ICS cybersecurity simulation and validation facilities in southern Taiwan. - Research on Various Digital Signature Schemes:
In addition to conventional personal digital signature schemes, our research also covers various extended and transformed signature systems, including proxy signatures, undeniable signatures, fair blind signatures, and signature schemes based on two distinct mathematical hard problems. These variants have specialized and essential application scenarios in today’s highly digitalized and networked world, such as electronic cash systems, proxy-based services, and anti-piracy mechanisms. - Research and Implementation of Vehicular Network Security:
Vehicular networks are developing rapidly; however, security concerns remain a significant challenge for users. Our team investigates in-vehicle system security and attack techniques, enhances the security of in-vehicle CAN buses, and ensures the integrity and non-tampering of vehicular data. Critical in-vehicle data are protected using cryptographic keys and securely transmitted to cloud servers. Furthermore, blockchain technology is employed to safeguard driver behavior data for future applications in areas such as finance and insurance. - Research on Blockchain Technologies and Applications:
Blockchain has become one of the key technologies shaping future lifestyles and applications. During my tenure at Southern Taiwan University of Science and Technology, I established the Blockchain Technology Research Center and served as its director. Together with a group of like-minded faculty members, we have conducted extensive research and experimentation on blockchain technologies, successfully deploying them in applications including smart agriculture, vehicular networks, digital certificates, ERP systems, and cryptocurrencies, and actively contributing to the practical adoption of blockchain technologies.
cryptography, blockchain, network security, post-quantum cryptography, OT Security, and chip security.
Awards:
- Supervised students who won Second Place in the HITCON Cyber Range – Student Division (October 2024).
- Supervised students who achieved Fourth Place in the National Skills Competition – Cybersecurity Category(March 2024).
- Supervised students who won Sixth Place in the 2023 Shen-Dun Award (November 2023).
- Paper titled “A Study on Attack Techniques in Industrial Internet of Things Communication Environments”, presented at the 2022 DLT Digital Life Technology Conference hosted by National Kaohsiung University of Science and Technology; student authors Chih-Yuan Hsu, Bing-Jun Chiang, and Chia-Hung Cheng. Best Paper Award, First Author (May 13–14, 2022).
- Paper titled “Implementing a Telemedicine System in Rural Areas Using Blockchain Technology”, presented at the 8th IEEE & 9th International Conference on Science, Education, and Viable Engineering organized by the Taiwan Association for Academic Innovation (TAAI); student author Ma. Thea A. Cabral. Best Paper Award, Corresponding Author (October 28, 2021).
- Paper titled “An ECDH-Based Key Agreement Algorithm for Simulated Water Resource Systems”, presented at the 31st National Conference on Information Security organized by the Information Security Association of Taiwan; awarded Best Student Paper – Honorable Mention (August 5–6, 2021).
- Supervised undergraduate students Chi-Jui Huang (4A6G0918) and Cheng-Li Yu (4A755071) in the Advanced Practical Division of the 2021 T-Cat Cup National Cybersecurity Fundamental Skills Competition, organized by the Information Security Research and Teaching Center, National Cheng Kung University; awarded Third Place(May 30, 2021).
- Supervised students Chi-Jui Huang (4A6G0918) and Cheng-Li Yu, who were selected as offensive operators in the Cyber Attack and Defense Exercise organized by the Technical Service Center of the National Information and Communication Security Taskforce, Executive Yuan; awarded Excellent Performance, Advisor (January 14, 2021).
- Supervised undergraduate student Chi-Jui Huang (4A6G0918) and team members forming the “H1dra Security Team”, participating in the Bug Bounty Challenge at the HITCON 2020 Conference organized by the Taiwan Hacker Association; awarded First Place in the Networked Devices Category, receiving a cash prize of NTD 50,000 (September 11–12, 2020).
NARN-YIH LEE (Member, IEEE) received the Ph.D. degree in information engineering from National Cheng Kung University, Taiwan, in 1996. He is currently a Professor with the Computer and Network Center, National Cheng Kung University.
Job Description
Typical tasks may include: (1) preparing and analyzing ICS datasets (network traffic, host logs, sensor/process signals); (2) implementing and evaluating OT-aware detection models (e.g., anomaly detection, multi-source fusion, behavior-based detection); (3)mapping behaviors to ICS threat frameworks (e.g., MITRE ATT&CK for ICS) when applicable; (4) assisting with testbed-based experiments, attack replay, or dataset generation; (5) building reproducible pipelines (code, configs, experiment logs); and (6) preparing technical summaries, figures, and results for papers or project reports.
Preferred Intern Educational Level
Undergraduate, Master’s student, or Ph.D. student in Computer Science, Electrical Engineering, Information Security, or a related field.
Skill sets or Qualities
Proficiency in Python; experience with PyTorch or ML toolchains preferred
Basic understanding of networks and cybersecurity, plus interest in OT/ICS environments
Familiarity with one or more: network traffic analysis (PCAP/NetFlow), log analysis, time-series/sensor data processing
Awareness of ICS context (e.g., PLCs, SCADA concepts, industrial protocols such as Modbus/DNP3/OPC UA) is a strong plus
Strong research discipline: careful experimentation, reproducibility, and clear documentation
Independent problem-solving, proactive communication, and readiness to learn new tools quickly
English technical writing ability is a plus
Job Description
Typical tasks may include: (1) studying post-quantum theorey (2) proving and evaluating security models; (3) implementing experiments in Python and PyTorch; (4) preparing figures/tables and short technical summaries for research papers or reports.
Preferred Intern Educational Level
Undergraduate, Master’s student, or Ph.D. student in Computer Science, Electrical Engineering, Information Security, or a related field.
Skill sets or Qualities
Solid programming skills in Python;
Basic knowledge of computer networks and cryptography fundamentals
Strong attention to detail, ability to follow research protocols, and commitment to reproducible work
Self-motivated, proactive communicative, and willing to learn in a research environment
Good academic writing skills in English are a plus