基本信息
吕遒健  女  硕导  中国科学院信息工程研究所
电子邮件: lvqiujian@iie.ac.cn
通信地址: 北京市海淀区树村路19号
邮政编码:

研究领域

网络安全防护与风险感知

招生信息

硕士研究生:1名

招生专业
083900-网络空间安全
招生方向
网络安全防护与风险监测

教育背景

2011-09--2017-06   北京邮电大学   博士
2007-09--2011-06   太原理工大学   学士
学位
博士研究生

工作经历

   
工作简历
2019-10~现在, 中科院信息工程研究所, 高级工程师
2017-07~2019-10,中科院信息工程研究所, 助理研究员

专利与奖励

   
奖励信息
(1) 保密科技一等奖, 一等奖, 部委级, 2020
专利成果
( 1 ) 网络安全风险事件预测方法及装置, 发明专利, 2021, 第 1 作者, 专利号: CN112884204A

( 2 ) 一种基于用户输入行为的用户身份检测方法及系统, 发明专利, 2019, 第 4 作者, 专利号: CN110570199A

( 3 ) 一种网络内部威胁的检测方法、系统及电子设备, 发明专利, 2018, 第 2 作者, 专利号: CN108616545A

出版信息

   
发表论文
[1] 孙德刚, 徐国坤, 王伟杰, 王妍, 吕遒健, Xingxing Zhou, Zhiqi Li. LWVN:An Lightweight Virtual Network Methond to Defend Lateral Movement. Trustcomnull. 2023, [2] Computer&Securitynull. 2023, [3] 马秀, 王蕾齐, 吕遒健, 王妍, 张琪, 姜建国. CyEvent2vec: Attributed Heterogeneous Information Network based Event Embedding Framework for Cyber Security Events Analysis. International Joint Conference on Neural Networksnull. 2022, [4] Li, Ce, Lv, Qiujian, Li, Ning, Wang, Yan, Sun, Degang, Qiao, Yuanyuan. A novel deep framework for dynamic malware detection based on API sequence intrinsic features. COMPUTERS & SECURITY[J]. 2022, 116: http://dx.doi.org/10.1016/j.cose.2022.102686.
[5] Li, Ce, Cheng, Zijun, Zhu, He, Wang, Leiqi, Lv, Qiujian, Wang, Yan, Li, Ning, Sun, Degang. DMalNet: Dynamic malware analysis based on API feature engineering and graph learning. COMPUTERS & SECURITY[J]. 2022, 122: http://dx.doi.org/10.1016/j.cose.2022.102872.
[6] 程子俊, 孙德刚, 王蕾祺, 吕遒健, 王妍. MMSP: A LSTM Based Framework for Multi-Step Attack Prediction in Mixed Scenarios. 2022 IEEE Symposium on Computers and Communicationsnull. 2022, [7] Wang, Tingting, Zhao, Xufeng, Lv, Qiujian, Hu, Bo, Sun, Degang, Shen, W, Barthes, JP, Luo, J, Shi, Y, Zhang, J. Density Weighted Diversity Based Query Strategy for Active Learning. PROCEEDINGS OF THE 2021 IEEE 24TH INTERNATIONAL CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK IN DESIGN (CSCWD)null. 2021, 156-161, [8] 张晓兵, 王妍, 吕遒健, 田亮, 孟繁盛. 信创体系下的浏览器安全可信架构研究. 信息安全研究[J]. 2021, 7(4): 328-334, http://lib.cqvip.com/Qikan/Article/Detail?id=7104274195.
[9] 王婷婷, 吕遒健, 胡波, Sun Degang. A Few-Shot Class-Incremental Learning Approach for Intrusion Detection.. The 30th International Conference on Computer Communication and Networks (ICCCN)[J]. 2021, [10] 姜建国. GSketch: A Comprehensive Graph Analytic Approach for Masquerader Detection Based on File Access Graph. IEEE symposium on Computers and Communications.IEEE, 2021.. 2021, [11] 吕遒健, 王妍, 黄伟庆. 以自主创新引领网络安全产业发展. 保密工作[J]. 2020, 3-, http://lib.cqvip.com/Qikan/Article/Detail?id=7103316896.
[12] 王婷婷, 吕遒健, 胡波, Sun Degang. CVSS-based Multi-Factor Dynamic Risk Assessment Model for Network System.. In 2020 IEEE International Conference on Electronics Information and Emergency Communication (ICEIEC)[J]. 2020, [13] 王妍, 吕遒健, 马秀. 面向国产生态的网络安全事件运维技术研究. 信息安全研究[J]. 2020, 6(10): 868-874, https://kns.cnki.net/KCMS/detail/detail.aspx?dbcode=CJFQ&dbname=CJFDLAST2020&filename=XAQY202010002&v=MDE0MjhadWR2RnkvblU3dklQU3phZDdHNEhOSE5yNDlGWm9SOGVYMUx1eFlTN0RoMVQzcVRyV00xRnJDVVI3cWU=.
[14] Sun, Degang, Wu, Zhengrong, Wang, Yan, Lv, Qiujian, Hu, Bo, IEEE. Cyber Profiles Based Risk Prediction of Application Systems for Effective Access Control. 2019 IEEE SYMPOSIUM ON COMPUTERS AND COMMUNICATIONS (ISCC)null. 2019, 836-842, [15] Sun, Degang, Wu, Zhengrong, Wang, Yan, Lv, Qiujian, Hu, Bo, IEEE. Risk Prediction for Imbalanced Data in Cyber Security : A Siamese Network-based Deep Learning Classification Framework. 2019 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)null. 2019, [16] 孔斌, 吕遒健, 吴峥嵘. 数据驱动的网络安全风险事件预测技术研究. 信息安全研究[J]. 2019, 5(6): 477-487, http://lib.cqvip.com/Qikan/Article/Detail?id=7002108219.
[17] Lv, Bin, Wang, Dan, Wang, Yan, Lv, Qiujian, Lu, Dan, Chellappan, S, Cheng, W, Li, W. A Hybrid Model Based on Multi-dimensional Features for Insider Threat Detection. WIRELESS ALGORITHMS, SYSTEMS, AND APPLICATIONS (WASA 2018)null. 2018, 10874: 333-344, [18] Lv, Qiujian, Wang, Yan, Wang, Leigi, Wang, Dan, Guo, J, Yang, J, Wang, W, Zhang, L, Ma, Z, Qiao, Y. TOWARDS A USER AND ROLE-BASED BEHAVIOR ANALYSIS METHOD FOR INSIDER THREAT DETECTION. PROCEEDINGS OF 2018 INTERNATIONAL CONFERENCE ON NETWORK INFRASTRUCTURE AND DIGITAL CONTENT (IEEE IC-NIDC)null. 2018, 6-10, 

科研活动

   
科研项目
( 1 ) 一体化专项, 参与, 国家任务, 2019-06--2021-06
( 2 ) 网络安全监管平台建设, 参与, 中国科学院计划, 2019-07--2020-12
( 3 ) 集群通信系统研究, 参与, 国家任务, 2021-07--2023-06