计算机科学 ›› 2025, Vol. 52 ›› Issue (11A): 241200157-7.doi: 10.11896/jsjkx.241200157
蒋亚坤, 林旭
JIANG Yakun, LIN Xu
摘要： 随着电力系统信息化、网络化、智能化建设的不断推进,电力监控系统面临着日益严峻的网络安全威胁。综合考虑网络资产安全风险、用户行为、业务特征等多方面因素,对电力监控系统网络所涵盖的多源数据进行全面深入分析显得尤为重要。据此提出了电力监控系统多源数据清洗方法及入侵检测方法,利用改进最大相关-最小冗余算法对电力监控系统网络的多源安全数据特征进行选择,保留合适的安全数据特征,利用网络入侵检测模型实现多源网络安全数据的检测与分类,有效解决电力监控系统多源数据特征属性复杂导致后期模型分类准确度下降等问题。仿真实验证明,所提出的多源数据特征选择方法与入侵检测算法对电力监控系统攻击的检测率与分类准确率均有明显提高。
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