Network & System Security
Attack-surface modeling, security decisions, resource optimization, and resilient control for vehicular networks, edge computing, and the Industrial Internet.
Academic Profile
Qiang Zhi
支强
Associate Professor · Department Head
School of Artificial Intelligence and Computer Science
Jiangsu Normal University
Researching secure, trustworthy, and verifiable networked intelligence for open and partially trusted distributed environments.
About
Research Profile
Qiang Zhi is an Associate Professor and Master's Supervisor at the School of Artificial Intelligence and Computer Science, Jiangsu Normal University, where he serves as Head of the Department of Computer Science and Technology. He received his M.Eng. from Hiroshima University in 2016 and his Ph.D. in Engineering from Nagoya University in 2020. He subsequently conducted research at the School of Engineering, Tokyo Institute of Technology, and the Tokyo office of the Institute of Electronics, Information and Communication Engineers (IEICE).
His research focuses on privacy-preserving and verifiable data management, network and system security, and trustworthy federated learning and collaborative intelligence, with applications in vehicular networks, edge computing, and the Industrial Internet. He has published more than 40 academic papers in journals and conferences including IEEE Transactions on Vehicular Technology, IEEE Transactions on Network Science and Engineering, IEEE Transactions on Network and Service Management, Information Sciences, and Computer Networks.
Research Focus
Secure and Trustworthy Networked Intelligence
Trustworthy Federated Learning
Personalized, robust, and privacy-preserving federated learning, contribution assessment, and verifiable collaboration among distributed participants.
Privacy-Preserving Data Management
Encrypted search, fine-grained access control, data-sharing audits, and verifiable computing for cross-organization data and knowledge management.
Research Output
Selected Publications
- 2026Joint task offloading and resource allocation in multi-UAV collaborative computing via LMMARL
Weiyi Wang, Zhengshu Zhou, Li Zhao, Qiang Zhi. Ad Hoc Networks, vol. 190, Article 104288.
- 2026SPECTRA: Secure Framework for Adaptive Frequency Hopping and Decentralized Storage
Qiang Zhi, Yixin Liu, Xiaoting Hu, Yi Zhu. IEEE Transactions on Vehicular Technology, early access, pp. 1-15.
- 2026DGDPFL: Dynamic Grouping and Privacy Budget Adjustment for Federated Learning in Networked Service Management
Dongyi Han, Qiang Zhi. IEEE Transactions on Network and Service Management, vol. 23, pp. 1826-1841.
- 2026Collaborative Metadata Indexing: A Privacy-Preserving Framework for Metadata Management in Vehicular Networks
Qiang Zhi, Jianguo Ren, Jianmeng Liu. IEEE Transactions on Vehicular Technology, vol. 75, no. 5, pp. 8482-8497.
- 2026RTCD4ADS: Runtime traffic rule conflict detection for autonomous driving system
Yi Zhu, Junge Huang, Qiang Zhi, Yuxiao Zheng, Hanwen Li. Journal of Systems and Software, Article 112928.
- 2025FedPDA: Personalized federated learning based on attribute similarity migration
Xiang Zhou, Qiang Zhi, Ziyang Liu, Dongyi Han, Nan Liu. Information Sciences, vol. 720, Article 122553.
- 2025A Dual-Layer Network Security Model for Smart Factories Based on the Sentinel Mechanism
Yixin Liu, Qiang Zhi. Computer Networks, vol. 271, Article 111580.
- 2025An Approach to Develop Assurance Models Toward Safety of the Intended Functionality
Zhengshu Zhou, Zhongpei Zhao, Qian Long, Xiankun Zhang, Qiang Zhi. International Conference on Intelligent Computing, pp. 338-349.
- 2024ODFa2: Overall Defense Framework against Cyber-Attacks on Intelligent Connected Vehicles
Zhengshu Zhou, Qiang Zhi, Lu Tao, Peng Ping, Qian Long. IEEE Transactions on Vehicular Technology, vol. 73, no. 5, pp. 6318-6331.
- 2024An Efficient Multiplex Network Model for Effective Honeypot Roaming against DDoS Attacks
Jianguo Ren, Qiang Zhi. IEEE Transactions on Network Science and Engineering, vol. 11, no. 2, pp. 1909-1921.
- 2024Modeling and Analyzing Honeypot Roaming with a Multi-Layer Adaptive Network Approach and Redirection Mechanism
Jianguo Ren, Qiang Zhi. China Communications.
- 2024Density-based clustering with differential privacy
Fuyu Wu, Mingjing Du, Qiang Zhi. Information Sciences, vol. 681, Article 121211.
Academic Journey
Education & Appointments
Jiangsu Normal University
Associate Professor, School of Artificial Intelligence and Computer Science
Tokyo Institute of Technology
Assistant Researcher, School of Engineering
IEICE Tokyo Office
Assistant Researcher
Nagoya University
Ph.D. in Engineering
Hiroshima University
M.Eng.
Undergraduate Exchange in Japan
Undergraduate student exchange program
Teaching & Students
Courses and Research Group
Courses
Computer Networks, Embedded Systems, Artificial Intelligence, Machine Learning, Deep Learning, Computer Organization, Intelligent Optimization and Computing, Optimization Methods, Information Security, Professional English, and Standard Japanese.
Prospective Students
The group welcomes master's students interested in cybersecurity, trustworthy artificial intelligence, vehicular networks, and edge intelligence, especially those planning to pursue doctoral study or research and development careers.
Contact
Academic Identity
Emailzhi [at] jsnu [dot] edu [dot] cn
AffiliationJiangsu Normal University
Official profileSchool faculty page