National Chung Cheng University

Cyber Information Security Laboratory

阮文齡/Van-Linh Nguyen
https://sites.google.com/view/nvlinh

Research Field

Telecommunication Engineering

Introduction

Van-Linh Nguyen (S'16-M'19) is a tenure-track assistant professor at the Department of Computer Science and Information Engineering, National Chung Cheng University (CCU), Taiwan. Prior to joining CCU as a faculty, he was a lecturer at the Department of Information Technology, Thai Nguyen University of Information and Communication Technology (TNU-ICTU), Vietnam, from 2012 to 2022. He was also a postdoctoral fellow with CCU from 2020 to 2022. He received his Ph.D. in computer science and information engineering from National Chung Cheng University, Taiwan, in 2019. 

His broad research interests include:

  1. AI for Security/Networking: Wireless Security Intelligence, Intrusion Detection Systems, Vehicular Intelligence, Edge/Network Intelligence
  2. Cybersecurity in AI: Adversarial attacks, Quantum Security
  3. B5G/6G: Aerial-assisted networks, Satellite-Aerial-Ground-Networks, B5G/6G networks

CIS Lab is a leading security research group at National Chung Cheng University, established by Prof. Van-Linh Nguyen.  CISLab has been the home of many international students. Students are diverse and come from many countries, e.g., Taiwan, Vietnam, Thailand, Malaysia, Ethiopia, Iran, and India. Our research interests consist of Information Security/Advanced authentication, Cybersecurity in wireless communications, space/drone security, quantum security, and vehicular networks.

Lab WEBSITE: https://ccucyberseclab.github.io


Research Topics

(1) AI for Cybersecurity: Misbehavior detection in autonomous vehicles, Deep Reinforcement Learning for aerial-assisted networks (UAV-satellite-space) or Intelligent Transportation Systems, Self-supervised Learning, autoDL /ML for Intrusion Detection Systems.

(2) Cybersecurity for AI: Trustable AI for automated vehicles and AI-based control systems from adversarial attacks.

(3) 6G security: Signal sensing, physical layer authentication, high-accuracy localization and sensing.

(4) Space and Quantum security: Blockchain for vehicular/aerial networks; Quantum - safe vehicular/aerial networks; Quantum - compatible IDS platforms.


Honor
  • 2016 – present: IEEE Member (Institute of Electrical and Electronics Engineers

Educational Background

Ph.D. in Computer Science and Information Engineering


2 Vacancies

Job Description

Artificial Intelligence (AI) technologies, 6G networking, and quantum computing are the leading forces in bringing the world to the era of better intelligence and full automation. However, the rapid development of such technologies raises concerns that they could be used to damage human life, destroy critical infrastructure, and further violate user privacy. For example, AI power can be exploited to scan the vulnerabilities of critical control systems (SCADA, ITS) or track a target user in a restricted access building, even without physical intrusion. Similarly, the attackers can launch adversarial attacks against AI-based Advanced Driver-Assistance Systems (ADAS) and force connected vehicles to act as unexpected weapons to hit civilians. Early detection of security attacks and secure AI models are the top targets of many current research efforts. In short, our lab is recruiting talents who are interested in the following topics: 
(1) AI for Cybersecurity: Misbehavior detection in autonomous vehicles, Deep Reinforcement Learning for aerial-assisted networks (UAV-satellite-space) or Intelligent Transportation Systems, Self-supervised Learning, autoDL /ML for Intrusion Detection Systems.
(2) Cybersecurity for AI: Trustable AI for automated vehicles and AI-based control systems from adversarial attacks.
(3) 6G security: Signal sensing, physical layer authentication, high-accuracy localization and sensing.
(4) Space and Quantum security: Blockchain for vehicular/aerial networks; Quantum - safe vehicular/aerial networks; Quantum - compatible IDS platforms.

*** What you will do during the internship period
1. Read/survey the international papers on selected topics, e.g.,, B5G/6G Security, Vehicular Security, DDoS/hacking defense
2. Do programming for mini projects on selected topics: e.g., AI models for preventing adversarial attacks
3. Suggest novel/creative ideas to enhance assigned mini projects
4. Report the results in a professional manner, for example, in LateX writing, IEEE Trans format
5. Attend several industry tours or Chinese courses, or research culture introduction. 

*** We highly recommend the candidates who want to continue working with us after the internship (e.g., to apply for an MS/Ph.D. program with the Department of Computer Science and Information Engineering, National Chung Cheng University, Taiwan) 

*** For our lab information, please visit https://ccucyberseclab.github.io
*** If you have any further questions, please email the mentor at nvlinh (at) cs.ccu.edu.tw

Preferred Intern Education Level

  1. Third/fourth-year undergraduate senior students 
  2. Graduate candidates (had Bachelor or Master Degree)

Skill sets or Qualities

Highly recommend the following candidates to join our group: 
1. Proactive, creative, well-motivated character in working
2. Background knowledge in networking/security, mathematics, optimization, quantum, and computer vision.
3. Publications in my research field
4. International English proficiency certificate (TOEIC >= 550, IELTS >=5.0, TOEFL iBT >= 80 ).