支 强
个人简介
1990年生，2012年本科生交换项目留日，并于2020年取得名古屋大学博士学位（工学）。主要从事网络空间安全交叉领域的研究，致力于构建可信、高效的分布式智能系统。
Google Scholar: Qiang Zhi
联系方式：Email：zhi{at}jsnu.edu.cn
工作经历
2021.9 – 现在：江苏师范大学人工智能与计算机学院副教授
2020.4 - 2021.8：东京工业大学工学院助理研究员
2020.4 - 2021.8：日本电子情报通信学会（IEICE）东京事务总局助理研究员
研究方向
方向一：隐私保护与可验证数据管理
关注加密检索、访问控制、审计追踪等问题，服务于安全可信的数据流通与知识管理。
方向二：智能网络与系统安全
关注车联网、边缘计算、工业互联网等场景中的安全建模、优化决策与韧性控制。
方向三：联邦学习与可信协同智能
关注多主体数据无法集中共享时，如何实现高效、鲁棒、可验证的协同学习。
主讲课程
专业课:计算机网络，嵌入式系统，人工智能，机器学习，深度学习，计算机组成原理，智能优化与计算，最优化方法，信息安全
选修课:专业英语，标准日本语
主要成就及荣誉
江苏省双创博士（2023）、应用情报技术者（Applied Information Technology Engineer）（日本-2019）、NEC财团优秀论文奖（2018）、日语能力JLPT一级（2014,2024）等。
近期主要研究业绩（第一/通讯作者）
“SPECTRA: Secure Framework for Adaptive Frequency Hopping and Decentralized Storage”, IEEE Transactions on Vehicular Technology, pp. 1-15, 2026.
“DGDPFL: Dynamic Grouping and Privacy Budget Adjustment for Federated Learning in Networked Service Management”, IEEE Transactions on Networkand Service Management, vol. 23, pp. 1826 - 1841, 2026.
“Collaborative Metadata Indexing: A Privacy-Preserving Framework for Metadata Management in Vehicular Networks”, IEEE Transactions on Vehicular Technology, pp. 1-16, 2026.
“FedPDA: Personalized federated learning based on attribute similarity migration”, Information Sciences, vol. 720, no. 122553, 2025.
“A Dual-Layer Network Security Model for Smart Factories Based on the Sentinel Mechanism”, Computer Networks, vol. 271, no. 111580, 2025.
“An Approach to Develop Assurance Models toward Safety of the Intended Functionality”, International Conference on Intelligent Computing, Ningbo, China, pp. 338-349, 2025.
“ODFa2: Overall Defense Framework against Cyber-Attacks on Intelligent Connected Vehicles,” IEEE Transactions on Vehicular Technology, vol. 73, no. 5, pp. 6318-6331, 2024.
“Modeling and Analyzing Honeypot Roaming with a Multi-Layer Adaptive NetworkApproach and Redirection Mechanism”, China Communications, 2024.
“An Efficient Multiplex Network Model for Effective Honeypot Roaming against DDoS Attacks”, IEEE Transactions on Network Science and Engineering, 11(12), pp. 1909-1921, 2023.
“Element quality indicator: A quality assessment and defect detection method for software requirement specification”, Heliyon, vol. 9, no. 5, e16469, 2023.
“A Lightweight Secure Retrieval Model Applied to Intranet”, Journal of King Saud University-Computer and Information Sciences, vol. 35, no. 3, pp. 274-282, 2023.
“An Anti-Physical Attack Scheme of ARX Lightweight Algorithms for IoT Applications”. Computer Systems Science and Engineering, vol. 46, no. 1, pp. 389-402, 2023.
“A Defect Detection Method for the Primary Stage of Software Development”. Computers, Materials & Continua, vol. 74, no. 3, pp. 5141-5155, 2023.
招生需求
课题组招收对科研有持续兴趣，愿意读论文、做思考、接受反复修改；有较强自驱力，希望接受系统的学术训练，并认真考虑未来继续深造读博或从事科研行业。