乔塨哲
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  • 电子邮箱:
  • 入职时间:2024-11-07
  • 所在单位:计算机学院、网络空间安全学院(数字取证教育部工程研究中心、公共计算机教学部)
  • 学历:博士研究生毕业
  • 性别:
  • 学位:工学博士学位
  • 在职信息:在岗
  • 毕业院校:南京航空航天大学
  • 个人简介
  • 研究方向
  • 社会兼职
  • 教育经历
  • 工作经历
  • 团队成员
  • 其他联系方式

研究方向包括:天基网络抗辐射加固、卫星网络路由安全加固、无人机组网与认证、信息系统风险评估等。

代表论文:

  1. Qiao, G.; Zhuang, Y.; Ye, T. BCDAIoD: An Efficient Blockchain-Based Cross-Domain Authentication Scheme for Internet of Drones. Drones 2023, 7, 302. https://doi.org/10.3390/ drones7050302(SCI Q2,中科院 2 区)

  2. Qiao, G.; Zhuang, Y.; Ye, T. A Digital-Twin-Based Detection and Protection Framework for SDC-Induced Sinkhole and Grayhole Nodes in Satellite Networks. Aerospace 2023, 10, 788. https://doi.org/10.3390/aerospace 10090788(SCI Q1,中科院 3 区)

  3. Qiao, G.; Zhuang, Y.; Ye, T. A Method for Analyzing the Impact of SEUs on Satellite Networks from the Perspective of Distributed Routing. Ad Hoc Networks 2024.   https://doi.org/10.1016/j.adhoc.2024.103546 (SCI Q2,中科院 3 区,CCF C)

  4. Qiao, G.; Zhuang, Y.; Ye, T. FRAMB: A man-machine cooperation risk assessment method for intelligent network information systems. Journal of Intelligent & Fuzzy Systems 2024. https://doi.org/10.3233/JIFS-231880 (SCI Q4,中科院 4 区)

  5. Qiao G.; Zhuang, Y. A Blockchain-Based Reconstruction Framework for UAV Network. International Conference on Security, Privacy and Anonymity in Computation, Communication and Storage.2020. (SpaCCS 2020)(EI 会议).

  6. Ye, T.; Zhuang, Y.; Qiao, G. MBIPV: A Model-Based Approach for Identifying Privacy Violations from Software Requirements. Software and Systems Modeling 2022, 11. https://doi.org/10.1007/s10270-022-01072-3(SCI Q3, 中科院 2 区,CCF B)

  7. Ye T.; Zhuang Y.; Qiao G. MDSSED: A Safety and Security Enhanced Model-Driven Development Approach for Smart Home Apps[J]. Information and Software Technology 2023,107287. https://doi.org/10.1016/j.infsof.2023.107287 (SCI Q2, 中科院 2 区, CCF B)

  8. Ye T.; Zhuang Y.; Qiao G. SCKPISec: A KPI-Guided Model-Based Approach to Realize Security by Design for Smart City Systems. Sustainability 2023, 15, 1884. https://doi.org/10.3390/su15031884(SCI Q2, 中科院 3 区)

  9. Gu, J.; Huang, R.; Jiang, L.; Qiao, G.; Du, X. A Fog Computing Solution for Context Based Privacy Leakage Detection for Android Healthcare Devices. Sensors 2019, 19, 1184. https://doi.org/10.3390/s19051184(SCI Q2, 中科院 3 区)

风险评估
  • 安全跨域认证
  • 单粒子效应影响分析
  • 网络安全加固
  • 低轨互联网

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