摘要
为提高计算机网络安全态势感知准确率,提出一种基于大数据技术的计算机网络安全态势感知方法。利用大数据技术采集计算机网络安全中的特征数据,融合数据并分析,再检测网络攻击完成分类,并评估安全态势。实验结果表明,该方法能有效提高网络安全态势感知准确率,平均网络安全态势感知准确率为95.13%,具有一定的应用价值。
In order to improve the accuracy of computer network security situational awareness,this paper proposes a computer network security situational awareness method based on big data technology.Use big data technology to collect characteristic data in computer network security,fuse and analyze data,detect network attacks,complete classification,and conduct security situation assessment on this basis.The experimental results show that this method can effectively improve the accuracy of network security situational awareness,and the average accuracy of network security situational awareness is 95.13%,which has certain application value.
作者
沈溶溶
SHEN Rongrong(Henan Light Industry Vocational College,Zhengzhou Henan 450000,China)
出处
《信息与电脑》
2023年第3期71-73,共3页
Information & Computer
关键词
大数据技术
网络安全
态势感知
网络攻击
数据融合
big data technology
network security
situation awareness
network attack
data fusion
