ASON电力调度网络中无界虚假数据注入攻击检测  

Detection of unbounded false data injection attack in ASON power dispatching network

作　　者：杨再鹤 YANG Zaihe(Electrical Dispatching and Control Center of Yunnan Power Grid,Kunming 650011,China)

机构地区：[1]云南电力调度控制中心,云南昆明650011

出　　处：《电子设计工程》2025年第8期140-144,共5页Electronic Design Engineering

基　　金：云南电网公司科技项目计划资助(YBKJXM20220376)。

摘　　要：电力调度网络数据量大,无界虚假数据注入攻击隐藏在大量的实际数据中,且存在噪声数据干扰,导致难以准确地识别异常行为。针对该问题,提出了ASON电力调度网络中无界虚假数据注入攻击检测方法。构建自动切换操作网络(Automated Switching Operations Network,ASON)光联网结构,观测检测向量并计算无界虚假数据注入攻击后的结果。对计算结果进行去噪处理,获取虚假数据。基于ASON的光组播构建光组播表结构。根据电力调度网络状态和业务需求,自动选择最佳的检测方式,并构建检测模型,将最大后验概率判别准则应用于ASON信令协议中,检测虚假数据注入攻击。实验结果可知,该方法量测值变化范围为-2.3~3.5,与实验数据一致,说明使用该方法检测结果精准。The power dispatch network has a large amount of data,and unbounded false data injection attacks are hidden in a large amount of actual data,and there is noise data interference,making it difficult to accurately identify abnormal behavior.A method for detecting unbounded false data injection attacks in ASON power dispatch networks is proposed to address this issue.Build an Automated Switching Operations Network(ASON)optical networking structure,observe detection vectors,and calculate the results of unbounded false data injection attacks.Perform denoising on the calculation results to obtain false data.Constructing an optical multicast table structure based on ASON for optical multicast.Based on the status and business requirements of the power dispatch network,the optimal detection method is automatically selected,and a detection model is constructed.The maximum posterior probability discrimination criterion is applied to the ASON signaling protocol to detect false data injection attacks.The experimental results show that the measurement range of this method is -2.3~3.5,and the experimental data is consistent,indicating that the detection results using this method are accurate.

关 键 词：ASON 电力调度网络 数据去噪 无界虚假数据 注入攻击检测 

分 类 号：TN242.6[电子电信—物理电子学]