学术成果 |
近年来，在安全四大和网络安全顶级期刊/会议上发表论文十余篇，申请发明专利十项，部分成果如下： [1] Han D, Wang Z, Feng R, et al. Rules Refine the Riddle: Global Explanation for Deep Learning-Based Anomaly Detection in Security Applications[C]//Proceedings of the 2024 ACM SIGSAC Conference on Computer and Communications Security (CCS). 2024（CCF A） [2] Han D, Wang Z, Chen W, et al. Anomaly Detection in the Open World: Normality Shift Detection, Explanation, and Adaptation[C]//30th Annual Network and Distributed System Security Symposium (NDSS). 2023.（CCF A，IRTF应用网络研究奖） [3] Han D, Wang Z, Zhong Y, et al. Evaluating and improving adversarial robustness of machine learning-based network intrusion detectors[J]. IEEE Journal on Selected Areas in Communications, 2021, 39(8): 2632-2647.（CCF A, SCI 1区） [4] Han D, Wang Z, Chen W, et al. Deepaid: Interpreting and improving deep learning-based anomaly detection in security applications[C]//Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security (CCS). 2021: 3197-3217.（CCF A） [5] Wang K, Wang Z, Han D, et al. BARS: Local Robustness Certification for Deep Learning based Traffic Analysis Systems[C]//30th Annual Network and Distributed System Security Symposium (NDSS). 2023.（CCF A） [6] Chen W, Wang Z, Han D, et al. ROV-MI: Large-Scale, Accurate and Efficient Measurement of ROV Deployment[C]//29th Annual Network and Distributed System Security Symposium (NDSS). 2022.（CCF A） [7] Wang S, Wang Z, Zhou T, Sun H, Yin X, Han D, et al. Threatrace: Detecting and tracing host-based threats in node level through provenance graph learning[J]. IEEE Transactions on Information Forensics and Security, 2022, 17: 3972-3987.（CCF A） [8] 宋光磊, 张文健, 林金磊, 韩东岐, 王之梁, 张辉, 杨家海. 6EDL: 高效的大规模活跃IPv6地址探测系统. 计算机学报, 2024年 (CCF A) [9] 王之梁, 韩东岐,李城龙, 何直泽, 王尚东, 陈闻起, 杨家海, 施新刚, 尹霞。一种暗网代理识别方法、装置和可读存储介质 （202210814647.2） [10] 王之梁, 韩东岐, 金明辉, 陈闻起, 王凯, 蔚睿, 王苏, 张晗, 杨家海, 施新刚, 尹霞, 肖飞, 王治华, 高峰。一种网络安全异常检测中深度学习模型的更新方法与装置（202211606695.9） |
