大数据环境下电力网络数据安全入侵模型仿真  

Discussion on the Simulation of Power Network Data Security Intrusion Model Under Big Data Environment

作　　者：娄一艇 柯方圆 张之桢 刘帅 Lou Yi-ting;Ke Fang-yuan;Zhang Zhi-zhen;Liu Shuai

机构地区：[1]国网宁波供电公司,浙江宁波315000

出　　处：《电力系统装备》2023年第2期56-58,共3页Electric Power System Equipment

摘　　要：大数据时代背景下,信息技术发展迅速,网络黑客事件频发,这在无形之中增加了国家机密和企业商业机密的保密工作的难度。我国国家电网体系中,数据库的建立,一方面增加了我国关键业务数据信息的内核存储量,另一方面又加剧了我国电力网络数据安全防入侵的监管压力。鉴于此,文章设计了大数据环境下电力网络数据安全入侵模型,并经过试验证明了数据安全入侵模型仿真方法防御性能较强。基于电力网络数据安全入侵模型仿真的合理设计,可保证我国电力网络数据安全风险识别体系的稳定性,以供同行参考借鉴。Based on the background of the big data era,information technology has developed rapidly and network hackers have occurred frequently,which has virtually increased the difficulty of the confidentiality of state secrets and business secrets of enterprises.In China's national grid system,the establishment of large databases,on the one hand,increases the core storage of key business data information in China,on the other hand,increases the regulatory pressure on the security of power network data intrusion prevention in China.In view of this,this paper designs the data security intrusion model of power network under the big data environment,and the test data proves that the security intrusion model simulation method has strong defense performance.Based on the reasonable design of the power network data security intrusion model simulation in this paper,the stability of the power network data security risk identification system in China is guaranteed,which can be used for reference by peers.

关 键 词：黑客事件 保密工作 监管压力 

分 类 号：TP393.08[自动化与计算机技术—计算机应用技术] TM73[自动化与计算机技术—计算机科学与技术]