基于蚁群算法的电力数据网络APT攻击特征分析及防御技术  

Characteristic Analysis and Defense Technology of APT Attack in Power Data Network Based on Ant Colony Algorithm

作　　者：杨航 樊凯 梁段 YANG Hang;FAN Kai;LIANG Duan(China Southern Power Grid Co.,Ltd.,Guangzhou 510000,China;China Southern Power Grid Digital Power Grid Research Institute Co.,Ltd.,Guangzhou 510663,China)

机构地区：[1]中国南方电网有限责任公司,广东广州510000 [2]南方电网数字电网研究院有限公司,广东广州510663

出　　处：《微型电脑应用》2023年第7期101-104,共4页Microcomputer Applications

摘　　要：为了维护电力数据网络的安全,采用建立高级持续性威胁(APT)攻击防御体系模型的方式,降低电力数据网络遇到APT攻击时产生的损害。利用蚁群算法的优势,提出一种基于蚁群算法的电力数据网络APT攻击防御模型,并针对基于蚁群算法的电力数据网络APT攻击预警模型进行性能测试。测试结果表明,该系统的防御精度可达91.2%,可为电力数据网络的未来发展营造良好技术监督手段。In order to maintain the security of power data network,the advanced president threat(APT)attack defense system model is adopted to reduce the damage caused by APT attacks on power data network,and the advantages of ant colony algorithm are utilized.An APT attack defense model of power data network based on ant colony algorithm is proposed,and the performance of APT attack warning model of power data network based on ant colony algorithm is tested.The test results show that the defense accuracy of this system can reach 91.2%,which can create a good technical supervision means for the future development of power data network.

关 键 词：蚁群算法 电力数据网络 APT攻击 预警模型 

分 类 号：TM73[电气工程—电力系统及自动化]