基于FP-Growth算法的新能源配电网CPS网络攻击检测方法
Network attack detection method for CPS of active distribution network with renewable energy based on FP-Growth algorithm
李瑞 1刘珊 1闫磊2
作者信息
- 1. 国网山西省电力公司电力科学研究院,山西 太原 030001
- 2. 国网山西省电力公司,山西 太原 030021
- 折叠
摘要
为有效分析识别有源配电网信息物理系统(cyber physical system,CPS)状态,提出基于FP-Growth算法的有源配电网信息物理系统网络攻击检测方法.首先分析考虑网络攻击的有源配电网控制模型及CPS网络攻击影响机理,通过实时仿真平台对有源配电网CPS信息侧和物理侧进行监测来获取原始数据;然后通过额定电压、电流值制订数据离散化规则,并根据规则对原始数据进行离散量化处理来生成事件序列.在此基础上,采用FP-Growth算法挖掘历史数据异常信号的频繁项集和强关联关系,通过已有频繁序列特征对新的攻击类别和故障点进行识别,实现对有源配电网CPS网络攻击的检测.最后,仿真实验验证了所提方法的可行性和有效性.
Abstract
In order to effectively analyze and identify the cyber physical system(CPS)status of active distribution net-work,a network attack detection method based on FP-Growth algorithm for active distribution network cyber physi-cal system was proposed.Firstly,the active distribution network control model considering network attack and the im-pact mechanism of CPS network attack were analyzed,and the raw data was obtained by monitoring the CPS informa-tion side and physical side of the active distribution network through the real-time simulation platform.Then,the data discretization rules were formulated through the rated voltage and current values,and the original data were dis-cretized and quantized according to the rules to generate event sequences.On this basis,the FP-Growth algorithm was used to mine the frequent items and strong correlations of abnormal signals in historical data,and new attack catego-ries and fault points were identified through the existing frequent sequence features.The detection of CPS network at-tack on active distribution network was realized.Finally,the feasibility and effectiveness of the proposed method were verified by a simulation experiment.
关键词
有源配电网/信息物理系统/网络攻击/FP-Growth算法/事件序列Key words
active distribution network/cyber physical system/network attack/FP-Growth algorithm/event sequence引用本文复制引用
出版年
2024
NETL
NSTL
万方数据