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  • 卢晓珍 ( 副教授 )

    的个人主页 http://faculty.nuaa.edu.cn/luxiaozhen/zh_CN/index.htm

  •   副教授   硕士生导师
  • 招生学科专业:
    网络空间安全 -- 【招收硕士研究生】 -- 计算机科学与技术学院
    电子信息 -- 【招收硕士研究生】 -- 计算机科学与技术学院
个人简介

卢晓珍,江苏省青托,2021年12月毕业于厦门大学,导师为肖亮教授。主要研究方向为安全通信、低空智联网、安全强化学习、联邦学习和区块链等,主持国家自然科学基金青年项目一项和江苏省自然科学青年基金项目一项,参与国家自然科学基金联合基金重点项目一项(课题负责人)。相关成果已发表/录用论文30余篇,包括IEEE TIFS、TMC等CCF A类期刊以及《中国科学:信息科学》等国内刊物论文。谷歌学术引用2300余次,3篇入选ESI全球前1%高被引论文,6篇IEEE期刊热点论文,2篇论文入选IEEE 通信学会最佳读物(方向分别仅3篇和7篇)。曾获教育部自然科学奖二等奖(排名第四)、ACM SIGSAC China新星奖、福建省优秀博士学位论文奖、第十四届中国物联网学术会议优秀论文奖、第十五届福建省自然科学优秀学术论文奖和第二届ML4CS最佳学生论文奖等。担任多个国内外期刊青年编委,ProvSec2022组织委员会联合主席,IEEE ICCT2023 Symposium Co-Chairs,BigCom2022/2023程序委员会委员以及江苏省网络安全学会数据安全及人工智能安全专委会委员。

招收网络空间安全和电子信息专业硕士研究生以及校内本科生,希望【具有一定的数学和编程基础,具备一定的英语阅读能力】。欢迎对低空智联网接入安全、安全强化学习、联邦学习和区块链等方向感兴趣的同学邮件联系咨询,邮箱:luxiaozhen@nuaa.edu.cn。

科研项目

  • [1] "基于安全强化学习的车联网安全策略优化研究", 江苏省自然科学青年基金项目 (No. BK20220880), 2022.07.01-2025.06.30, 主持

  • [2] "面向车联网安全应用的强化学习方法研究", 国家自然科学基金青年项目 (No. 62202222), 2023.01.01-2025.12.31, 主持

部分已发表论文

-期刊论文

  • [1] Liang Xiao, Xiaozhen Lu, Dongjin Xu, Yuliang Tang, Lei Wang, and Weihua Zhuang, "UAV relay in VANETs against smart jamming with reinforcement learning", IEEE Transactions on Vehicular Technology, vol. 67, no. 5, pp. 4087-4097, May 2018. [ESI高被引论文,期刊热点论文]

  • [2] Liang Xiao, Xiaoyue Wan, Xiaozhen Lu,Yanyong Zhang, and Di Wu, "IoT security techniques based on machine learning: How do IoT devices use AI to enhance security?", IEEE Signal Processing Magazine, vol. 35, no. 5, pp. 41-49, Sept. 2018. [ESI高被引论文,期刊热点论文]

  • [3] Xiaozhen Lu, Xingyu Xiao, Liang Xiao, Canhuang Dai, Mugen Peng, and H Vincent Poor, "Reinforcement learning-based microgrid energy trading with a reduced power plant schedule", IEEE Internet of Things Journal, vol. 6, no. 6, pp. 10728-10737, Dec. 2019. [中科院1区]

  • [4] Xiaozhen Lu, Liang Xiao, Tangwei Xu, Yifeng Zhao, Yuliang Tang, and Weihua Zhuang, "Reinforcement learning based PHY authentication for VANETs", IEEE Transactions on Vehicular Technology, vol. 69, no. 3, pp. 3068-30797, Mar. 2020. [中科院2区]

  • [5] Xiaozhen Lu, Liang Xiao, Canhuang Dai, and Huaiyu Dai, "UAV-aided cellular communications with deep reinforcement learning against jamming", IEEE Wireless Communications, vol. 27, no. 4, pp. 48-53, Aug. 2020. [中科院1区,期刊热点论文]

  • [6] Liang Xiao, Xiaozhen Lu, Tangwei Xu, Xiaoyue Wan, Wen Ji, and Yanyong Zhang, "Reinforcement learning-based mobile offloading for edge computing against jamming and interference", IEEE Transactions on Communications, vol. 68, no. 10, pp. 6114-6126, Oct. 2020. [CCF B,期刊热点论文]

  • [7] Liang Xiao, Xiaozhen Lu, Tangwei Xu, Weihua Zhuang, and Huaiyu Dai, "Reinforcement learning based physical-layer authentication for controller area networks", IEEE Transactions on Information Forensics and Security, vol. 16, pp. 2535-2547, Feb. 2021. [CCF A,期刊热点论文]

  • [8] Yilin Xiao, Liang Xiao, Xiaozhen Lu, Hailu Zhang, Shui Yu, and H Vincent Poor, "Deep-reinforcement-learning-based user profile perturbation for privacy-aware recommendation", IEEE Internet of Things Journal, vol. 8, no. 6, pp. 4560-4568, Mar. 2021. [中科院1区]

  • [9] Xiaozhen Lu, Jingfang Jie, Zihan Lin, Liang Xiao, Jin Li, and Yanyong Zhang, "Reinforcement learning based energy efficient robot relay for unmanned aerial vehicles against smart jamming", SCIENCE CHINA Information Sciences, vol. 65, no. 112304, pp. 1-13, Jan. 2022. [CCF A]

  • [10] Xiaozhen Lu, Liang Xiao, Guohang Niu, Xiangyang Ji, and Qian Wang, "Safe exploration in wireless security: A safe reinforcement learning algorithm with hierarchical structure", IEEE Transactions on Information Forensics and Security, vol. 17, pp. 732-743, Feb. 2022. [CCF A, 期刊热点论文]

  • [11] Xiaozhen Lu, Liang Xiao, Pengmin Li, Xiangyang Ji, Chenren Xu, Shui Yu, and Weihua Zhuang, "Reinforcement learning based physical cross-layer security and privacy in 6G", IEEE Communications Surveys & Tutorials, vol. 25, no. 1, pp. 425-466, Firstquarter 2023. [ESI高被引论文,中科院1区,IF: 35.6]

  • [12] Xiaozhen Lu, Liang Xiao, Yilin Xiao, Wei Wang, Nan Qi, and  Qian Wang, "Risk-aware federated reinforcement learning-based secure IoV communications", IEEE Transactions on Mobile Computing, vol. 23, no. 12, pp. 14656-14671, Dec. 2024. [CCF A]

  • [13] Xiaozhen Lu, Zhibo Liu, Yuhan Chen, Liang Xiao, Wei Wang, and Qihui Wu, "Risk-aware reinforcement learning-based federated learning for IoV systems", IEEE Transactions on Mobile Computing, vol. 23, no. 12, pp. 14672-14688, Dec. 2024. [CCF A]

  • [14] Xiaozhen Lu, Zihan Liu, Liang Xiao, and Huaiyu Dai, "Reinforcement learning-based personalized differentially private federated learning", IEEE Transactions on Information Forensics and Security, Accepted. [CCF A]

  • [15] Xiaozhen Lu, Liang Xiao, Yilin Xiao, Zehui Xiong, Zhe Liu, Yanyong Zhang, and Weihua Zhuang, "Blockchain-enabled secure offloading for VEC: A multi-agent reinforcement learning approach",  IEEE Transactions on Dependable and Secure Computing, Accepted. [CCF A]

-会议论文(*通讯作者)

  • [1] Xiaozhen Lu, Dongjin Xu, Liang Xiao, Lei Wang, Weihua Zhuang, "Anti-jamming communication game for UAV-aided VANETs", in Proc. IEEE Global Communications Conference (GLOBECOM), Singapore, Dec. 2017.

  • [2] Xiaozhen Lu, Xiaoyue Wan, Liang Xiao, Yuliang Tang, and Weihua Zhuang, "Learning-based rogue edge detection in VANETs with ambient radio signals", in Proc. IEEE International Conference on Communications (ICC), Kansas City, MO, May 2018.

  • [3] Tangwei Xu, Xiaozhen Lu, Liang Xiao, Yuliang Tang, and Huaiyu Dai, "Voltage based authentication for controller area networks with reinforcement learning", in Proc. IEEE International Conference on Communications (ICC), Shanghai, China, May 2019.

  • [4] Kexin Liu, Xiaozhen Lu, Liang Xiao, and Li Xu, "Learning based energy efficient radar power control against deceptive jamming", in Proc. IEEE Global Communications Conference (GLOBECOM), Taipei, Taiwan, China, Dec. 2020.

  • [5] Siyuan Hong, Xiaozhen Lu, Liang Xiao, Guohang Niu, and Helin Yang, "Reinforcement learning based sensor encryption and power control for low-latency WBANs", in Proc. International Conference on Wireless Algorithms, Systems, and Applications (WASA), Nanjing, China, Jun. 2021.

  • [6] Xin Guo, Ruyun Zhang, Lu Zhou, and Xiaozhen Lu*, "Precise code clone detection with architecture of abstract syntax trees", in Proc. International Conference on Wireless Algorithms, Systems, and Applications (WASA), Dalian, China, Oct. 2022.

  • [7] Zhibo Liu, Xiaozhen Lu*, Yuhan Chen, Yilin Xiao, Liang Xiao, and Yanling Bu, "Deep reinforcement learning for network security applications with a safety guide", in Proc. IEEE/CIC International Conference on Communications in China (ICCC), Dalian, China, Aug. 2023.

  • [8] Wenjie Zhou, Piji Li, Zhaoyang Han, Xiaozhen Lu, Juan Li, Zhaochun Ren, and Zhe Liu, "Privacy-preserving federated learning via disentanglement", in Proc. Conference on Information and Knowledge Management (CIKM), Birmingham, UK, Oct. 2023. [CCF B]

  • [9] Yuhan Chen, Zhibo Liu, Xiaozhen Lu*, and Liang Xiao, "Risk-aware reinforcement learning based federated learning framework for IoV", in Proc. IEEE Wireless Communications and Networking Conference (WCNC), Dubai, UAE, Apr. 2024.

  • [10] Lixin Liu, Zhibo Liu, Xiaozhen Lu*Yanling Bu, Bin Han, and Liang Xiao, "Reinforcement Learning-based secure video transmission for IoV systems", in Proc. IEEE International Conference on Image Processing (ICIP), Abu Dhabi, UAE, Oct. 2024.

所有已发表学术论文详见:https://scholar.google.no/citations?hl=en&user=R7wsHNgAAAAJ

发明专利

  • [1] 肖亮,洪思愿,卢晓珍,肖奕霖, "一种可穿戴设备数据安全传输智能调度方法", 中国专利:ZL202011107880.4,已授权

  • [2] 卢晓珍,周文杰,李丕绩,"一种基于可解释性联邦学习数据隐私保护的方法",中国专利:ZL202310917385.7,已授权

  • [3] 卢晓珍,陈煜涵,卜艳玲,胡峰,"一种基于风险规避的联邦安全强化学习方法",中国专利:CN115879503A,已公开

  • [4] 卢晓珍,陈煜涵,胡峰,周璐,"基于联邦强化学习的多智能体风险感知安全计算方法",中国专利:CN116017571A,已公开

  • [5] 卢晓珍,陈帅,刘智博,殷雨璐,韩玮韬,"一种基于分层架构的安全强化学习方法",中国专利:CN117852619A,已公开

  • [6] 卢晓珍,林龙河,刘智博,"一种基于安全探索的多智能体深度强化学习方法",中国专利:CN117875375A,已公开

  • [7] 卢晓珍,刘智博,陈雨欣,杨荣健,"一种基于强化学习的图像隐写方法",中国专利:CN118628329A,已公开

获奖与荣誉

  • [1] IEEE International Conference on Communications (ICC) 学生会议资助奖,2018.5

  • [2] IEEE International Conference on Communications N2Women and WICE Workshop会议资助奖,2018.5

  • [3] 第二届International Conference on Machine Learning for Cyber Security (ML4CS) 最佳学生论文奖,2019.9

  • [4] 第十四届中国物联网学术会议优秀论文奖,2020.9

  • [5] 第十五届福建省自然科学优秀学术论文奖,2022.12

  • [6] 2022年度教育部高等学校科学研究优秀成果奖(科学技术)--自然科学奖二等奖, 2023.6(第四完成人)

  • [7] 2022年度ACM SIGSAC China新星奖,2023.7

  • [8] 2022年福建省优秀博士学位论文奖,2023.12

  • [9] 2024年江苏省青年科技人才托举工程, 2024.10

  • [10] 入选美国斯坦福大学2024年全球前2%顶尖科学家榜单“2024年度科学影响力排行榜”

学术兼职

  • [1] ProvSec2022组织委员会联合主席

  • [2] BigCom2022/2023程序委员会委员

  • [3] 江苏省网络安全学会数据安全专委会委员

  • [4] Communication and Information Security Symposium Co-Chairs, IEEE ICCT2023

  • [5] IEEE ICCT2023程序委员会委员

  • [6]《数据采集与处理》期刊首届青年编委会委员

  • [7] Guest Editor, Metaverse, SI: Information Infrastructure for the Metaverse, 2023

  • [8] Guest Editor, Mathematics, SI: Reinforcement Learning in Edge Intelligence for Next-Generation Communications and Security, 2024

  • [9] 中国计算机学会物联网专业委员会执行委员

  • [10] Metaverse首届青年编委

  • [11]《网络空间安全科学学报》首届青年编委

在读研究生

  • 2024级:潘飞宇(专硕)、张旭辉

  • 2023级:刘智博、刘俐欣、杨荣健、刘子涵(专硕)

  • 2022级:陈煜涵

学生活动:

  • [1] ICCC 2023, 中国大连, 2023.8.10-2023.8.12

    retouch_2023110118251062.jpg   大连_合照1.jpg

  • [2] Inscrypt 2023,中国杭州,2023.12.9-2023.12.10

    Inscrypt_1.jpg   Inscrypt_2.jpg

  • [3] IEEE WCNC 2024,阿联酋迪拜,2024.4.21-2024.4.25

      微信图片_20240509102035.jpg    5Y9B5443.jpg

  • [4] 第七届“大数据安全与隐私计算”学术会议,2024.10.18-2024.10.20

      大数据隐私_01.jpg    大数据隐私_02.jpg

  • [5] 团建活动,2024.12.8

      团建_241201.jpg    团建_241202.jpg

  • [6] 指导本科生刘奇明、林宇浩、任德翔获第21届全国大学生信息安全与对抗技术竞赛 (智能安全赛道) 全国一等奖,2024.12

      信安对抗赛_01.jpg    信安对抗赛_02.jpg

教育经历
  • 2013.9 -- 2017.6

    南京邮电大学       通信工程       南京邮电大学       工学学士学位

  • 2017.9 -- 2021.12

    厦门大学       通信与信息系统       厦门大学       工学博士学位

版权所有©2018- 南京航空航天大学·信息化处(信息化技术中心)