| 智能变电站过程层网络异常流量检测 |
投稿时间：2020-05-15 修订日期：2020-06-10  点此下载全文 |
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| 中文摘要:过程层网络对智能变电站运行安全存在直接影响,为保障智能变电站过程层网络通信不出现异常变动,需要准确检测智能变电站过程层网络异常流量。为此提出智能变电站过程层网络异常流量检测方法,由基于网络演算的变电站通信网络流量计算模型,将根节点全部设成信源,通过流量路由实现周围输入与输出端口的联系,获取智能变电站过程层网络中全部设备端口输入与输出流量；针对获取的网络流量,经过基于优化支持向量模型的异常流量检测方法,分类智能变电站过程层网络异常流量与正常流量,完成智能变电站过程层网络异常流量检测。实验研究结果表明：该方法检测智能变电站过程层网络异常流量时,网络流量特征提取、异常流量检测效果均符合应用需求。 |
| 中文关键词:智能变电站 过程层网络 异常流量检测 网络演算 支持向量模型 |
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| Abnormal flow detection of process layer network in Intelligent Substation |
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| Abstract:The process layer network has a direct impact on the operation safety of the intelligent substation. In order to ensure that the process layer network communication of the intelligent substation does not change abnormally, it is necessary to accurately detect the abnormal flow of the process layer network of the intelligent substation. In this paper, an abnormal flow detection method of process layer network in intelligent substation is proposed. Based on the flow calculation model of communication network in Substation Based on network calculus, the root nodes are all set as the source of information, and the connection between surrounding input and output ports is realized through flow routing to obtain the input and output flow of all equipment ports in the process layer network of intelligent substation. For the acquired network flow, the Based on the optimized support vector model, the abnormal flow detection method can classify the abnormal flow and normal flow in the process layer network of intelligent substation, and complete the abnormal flow detection in the process layer network of intelligent substation. The experimental results show that when the method is used to detect the abnormal network flow in the process layer of intelligent substation, the network flow feature extraction and the effect of abnormal flow detection meet the application requirements. |
| keywords:Intelligent substation Process layer network Abnormal flow detection Network calculus Support vector model |
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