Dr. Qian Lu, Device Identification, Best Researcher Award

Doctorate at Qingdao University,China

Dr. Qian Lu is an Assistant Professor in the School of Computer Science and Technology at Qingdao University. She obtained her Ph.D. degree from Ocean University of China in 2020. With a specialization in network security, wireless communication, and cyber security, Dr. Lu’s research interests encompass a wide range of topics within the realm of information security. She has a particular focus on Wi-Fi device identification, aiming to develop innovative solutions to enhance network security protocols. Through her research and academic endeavors, Dr. Lu is dedicated to advancing knowledge in the field of computer science while fostering the next generation of researchers and professionals in the domain.

Professional  Experience:

Dr. Qian Lu completed her Ph.D. at Ocean University of China in 2020 and now holds the position of Assistant Professor within the School of Computer Science and Technology at Qingdao University. Her professional trajectory underscores a dedication to advancing knowledge in network security, wireless communication, and cyber security domains. Dr. Lu’s specialized focus lies in Wi-Fi device identification, where she pioneers research to fortify network security protocols. Through her tenure, she strives to integrate cutting-edge research with practical applications, shaping the future of computer science education and industry practices.

Research Interests:

Dr. Qian Lu’s research interests encompass a multidisciplinary exploration at the intersection of network security, wireless communication, and cyber security, with a specialized focus on Wi-Fi device identification. Within this dynamic field, she delves into understanding vulnerabilities within computer networks and devising robust strategies for intrusion detection and prevention. Additionally, Dr. Lu is deeply engaged in optimizing wireless communication protocols to enhance efficiency, reliability, and security. She also investigates emerging cyber threats, aiming to develop proactive defense mechanisms to safeguard digital infrastructures. Her particular emphasis on Wi-Fi device identification underscores a commitment to advancing access control and security measures in network environments. Through her research pursuits, Dr. Qian Lu contributes to the broader landscape of information security, aiming to address contemporary challenges and foster resilience in digital communication systems.

Publications:

Bot-DM: A dual-modal botnet detection method based on the combination of implicit semantic expression and graphical expression

• Authors: Wu, G., Wang, X., Lu, Q., Zhang, H.
• Journal: Expert Systems with Applications
• Year: 2024
• Volume: 248
• Page: 123384
• [Link to the article](This link is disabled.)

Eliminating Rogue Access Point Attacks in IoT: A Deep Learning Approach With Physical-Layer Feature Purification and Device Identification

• Authors: Yang, Z., Lu, Q., Zhang, H., Chen, F., Xian, H.
• Journal: IEEE Internet of Things Journal
• Year: 2023
• Status: Article in Press
• [Link to the article](This link is disabled.)

Privacy-preserving deep learning for electricity consumer characteristics identification

• Authors: Zhang, Z., Lu, Q., Xu, H., Kong, F., Yu, Y.
• Journal: Frontiers in Energy Research
• Year: 2022
• Volume: 10
• Page: 992117
• [Link to the article](This link is disabled.)

Edge-Assisted Intelligent Video Compression for Live Aerial Streaming

• Authors: Liu, Z., Wang, M., Chen, F., Lu, Q.
• Journal: IEEE Transactions on Green Communications and Networking
• Year: 2022
• Volume: 6
• Issue: 3
• Pages: 1613–1623
• [Link to the article](This link is disabled.)

PEDR: Exploiting phase error drift range to detect full-model rogue access point attacks

• Authors: Lu, Q., Li, S., Zhang, J., Jiang, R.
• Journal: Computers and Security
• Year: 2022
• Volume: 114
• Page: 102581
• [Link to the article](This link is disabled.)