［1］Zscaler. 2020 State of Encrypted Attacks［EBOL］. USA, Zscaler, 2020 ［20230204］. https:www.zscaler.comresourcesindustryreportsstateofencryptedattackssummaryreport.pdf［2］Canard S, Diop A, Kheir N, et al. BlindIDS: Marketcompliant and privacyfriendly intrusion detection system over encrypted traffic［C］ Proc of the 2017 ACM on Asia Conf on Computer and Communications Security. Abu Dhabi, UAE: ACM, 2017: 561574［3］刘定祥, 乔少杰, 张永清, 等. 不平衡分类的数据采样方法综述［J］. 重庆理工大学学报: 自然科学, 2019, 33(7): 102112［4］Wagner D, Schneier B. Analysis of the SSL 3.0 protocol［C］ Proc of the 2nd USENIX Workshop on Electronic Commerce Proceedings. Berkeley, CA: USENIX Association, 1996: 2940［5］姚旭, 王晓丹, 张玉玺, 等. 特征选择方法综述［J］. 控制与决策, 2012, 27(2): 161166［6］方匡南, 吴见彬, 朱建平, 等. 随机森林方法研究综述［J］. 统计与信息论坛, 2011, 26(3): 3238［7］李郅琴, 杜建强, 聂斌, 等. 特征选择方法综述［J］. 计算机工程与应用, 2019, 55(24): 1019［8］Chen T, Guestrin C. Xgboost: A scalable tree boosting system［C］ Proc of the 22nd ACM SIGKDD Int Conf on Knowledge Discovery and Data Mining. San Francisco, CA: ACM, 2016: 785794［9］吕蔚萁. 基于高斯朴素贝叶斯分类器的特征预测能力检测［D］. 天津: 天津大学, 2023［10］刘京, 田博彦, 刘远龙, 等. 新型电力系统环境下FBMC系统信道估计［J］. 山东电力技术, 2023, 50(8): 6773
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