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  • National University of Defense Technology
  • Changsha, Hunan

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  1. CCF-BDCI-TOP3-Risk-identification-and-prediction-model-for-System-Access-Risk CCF-BDCI-TOP3-Risk-identification-and-prediction-model-for-System-Access-Risk Public

    为此,本文提出了一种基于用户行为模式挖掘的系统风险识别方案。首先,对用户行为模式进行深度挖掘,提取了有风险的访问的特点,分析了用户行为规律。进而,构造了多类特征,包括用户基本登录信息、基于认证时间的衍生特征、用户当天登录信息、用户行为规律特征以及交叉特征,并采用均方差检验进行特征选择。最后,选用与线上测试集分布一致的数据集建模,并依据实验结果选取了经过后处理的LightGBM模型作为最终模型…

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