电网调度通信网恶意入侵行为自动化监测方法  

Automatic monitoring method of malicious intrusion behavior in power dispatching and communication network

作　　者：廖松麟 李思瑾 LIAO Songlin;LI Sijin

机构地区：[1]国网汉中供电公司,陕西汉中723000

出　　处：《今日自动化》2024年第12期145-147,共3页Automation Today

摘　　要：随着电网调度通信网的智能化和网络攻击手段的日益复杂化,对电网安全的威胁日益增加。文章提出了一种基于模拟退火算法的电网调度通信网恶意入侵行为自动化监测方法。该方法通过分析电网通信网的特征数据,利用入侵自动识别技术提取关键特征,并采用人工智能算法对特征进行训练和分类,以实现对恶意入侵行为的自动识别。试验结果表明,该监测方法在提高检测准确率和降低漏报率方面具有显著效果,为电网调度通信网的安全防护提供了新的技术手段。With the intelligence of power grid dispatch communication networks and the increasing complexity of network attack methods,the threat to power grid security is increasing.This study proposes an automated monitoring method for malicious intrusions in power grid dispatch communication networks based on simulated annealing algorithm.The method analyses the feature data of the power grid communication network,extracts key features using intrusion automatic identification technology,and uses artificial intelligence algorithms to train and classify the features in order to achieve automatic identification of malicious intrusion behaviours.The experimental results show that the monitoring method has significant effect in improving the detection accuracy and reducing the false alarm rate,which provides a new technical means for the security protection of power grid dispatching communication network.

关 键 词：电网调度通信网 恶意入侵 入侵识别 

分 类 号：TP393.08[自动化与计算机技术—计算机应用技术]